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    An empirical analysis of capitalstructure & working capital management

    on profitability & shareholders value

    with reference to FMCG companies

    201

    1

    Submitted by : - Vishal PanditParesh Parmar

    Submitted to :- Prof. Sandhya Harkawat

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    An empirical analysis of Capital Structure &

    Working Capital Management on Profitability &

    Shareholders value with reference to FMCG

    Companies

    Project Guide:

    Prof. Sandhya Harkawat

    Submitted by:

    Vishal L. Pandit (53)

    Paresh C. Parmar (56)

    S. K. PATEL INSTITUTE OF MANAGEMENT & COMPUTER

    STUDIES

    Gandhinagar, India

    April 2011

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    CERTIFICATE

    This is to certify that Mr. Vishal l. Pandit & Mr. Paresh C. Parmar

    of S.K. Patel Institute of management and Computer Studies,Gandhinagar has submitted their Grand Project titled, An

    empirical analysis of Capital Structure & Working

    Capital Management on Profitability & Shareholders

    value with reference to FMCG Companies in the year

    2009-2011 in partial fulfilment of Kadi Sarva Vishwavidhyalaya

    requirements for the award of the title of Master of Business

    Administration.

    Prof. Sonu V. Gupta Prof. Prakash chawla Prof. Sandhya Harkawat

    Director in charge Coordinator Project Guide

    Date:

    Place:

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    DECLARATION

    We hereby, declare that the grand project titled, An

    empirical analysis of Capital Structure & Working

    Capital Management on Profitability & Shareholders

    value with reference to FMCG Companies is original to

    the best of our knowledge and has not been published

    elsewhere. This is for the purpose of the partial fulfilment of

    Kadi Sarva Vishwavidhyalaya requirements for the award of the

    title of Master of Business Administration.

    Name: Signature:

    Vishal L. Pandit __________________

    Paresh C. Parmar __________________

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    PREFACE

    Knowledge is the ocean that cannot be fathomed the deeper you go, the more

    you see its unbounded profundity.

    Change in occurring at an accelerated rate. Today is not like yesterday and

    tomorrow will not like be today. Todays market place is how to succeed in the

    dynamic environment that surrounds the corporate world today. M.B.A. is one

    of those professional courses which help students to keep pace the changing

    trends in business and its surrounding environment.

    The subject Practical Studies particularly helps the students to know the actual

    corporate world, the anxieties and stress associated with the job which cannot

    be understood sitting in a classroom.

    Complying with the objective the report is designed to develop the students

    understanding about the industry with the special emphasis on the development

    of skills in analyzing and interpreting practical problems through the application

    of theory, concepts & techniques of management.

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    ACKNOWLEDGEMENTS

    Even for a very minute accomplishment the result is not the effort of a single person. Many

    persons stand besides the men while and without their acknowledgement the accomplishment

    is incomplete.

    It is almost a ritual to begin the training report with an acknowledgement. This

    acknowledgement is not just an acknowledgement; it is heart full thanks to all those who

    made our project a great learning experience.

    We are very grateful to our director Prof. Sonu Gupta and to our summer project

    coordinatorProf. Samveg Patel for providing such a huge opportunity. Also to our mentor

    Prof.Sandhya Harkawat under whose blissful guidance, we were able to finish the report

    successfully.

    Finally, a special thanks to S K Patel College and staff for all their blessings and support.

    And also to our parents who (in their blessings) supported us working sincerely to prepare

    this report.

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    TABLE OF CONTENTS

    Chapter

    No

    Particulars Page

    No

    Title page I

    Certificate Ii

    Declaration Iii

    Preface IV

    Acknowledgement V

    Executive Summary Vi

    1) Introduction 1

    2) Research Methodology

    a) Research Objective

    b) Scope of the study

    c) Research Designd) Types of Data

    e) Hypothesis

    3) Literature Review

    4) Theoretical aspects of the study

    5) Data Analysis & Findings

    6) Conclusion

    7) Bibliography

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    EXECUTIVE SUMMARY

    A study of working capital management and capital structure is a major importance to

    internal and external analysis because of its close relationship to current day-to-day

    operations of business. WCM refers to the management of working capital, or precisely to the

    management of current assets.

    A firms working capital consists of its investment in current assets, which include mostly

    short-term assets, cash and bank balance, inventories, receivable, and marketable securities.

    A company's reasonable, proportional use of debt and equity to support its assets is a key

    indicator of balance sheet strength. A healthy capital structure that reflects a low level of debt

    and a corresponding high level of equity is a very positive sign of investment quality.

    In the study of working capital and capital structure for profitability different ratios were use

    for analysis purpose. Earning per share, Debt equity ratio, Operating profit ratio were majorimportant parameter taken for analysis purpose.

    Following are the main study for working capital and capital structure

    Working capital practice in FMCG companies in selected units

    Working capital impact on profitability by comparing impact of dependent variable

    earning per share and operating profit to other different ratios.

    Capital structure impact to profitability indicator operating profit to earning per share.

    Individual companies performance based on indicator Earning per share to Debt

    equity ratio effect to individual company.

    By analysing the companys performance of selected 5 FMCG companies based on BSC

    index, we can know that there is impact to capital structure performance but more effect to

    working capital of those companies. So working capital play important role in the selected

    companies. Nestle played very well role in capital structure compare to other selected units.

    For working capital companies managed it very well in all companies. There was also made

    impact of dependent variable earning per share and operating profit to other different ratios.

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    There is no significant impact show between the operating profit to earning per share in the

    study.

    INTRODUCTION

    The selection of topic was based on interested in work in manufacturing company. Soaccording to us it was seen that there is comparison make between theoretical and real market

    condition. We used secondary data for study purpose for this study. Working capital and

    capital structure are important parameter to Judge Companys performance.

    Working capital is the life blood and courage centre of a business. Just as circulation of blood

    is essential in the human body for maintaining life, working capital is very essential to

    maintain the smooth running of a business. No business can run successfully without an

    adequate amount of working capital.

    The working capital requirements should be met both from short term as well as long term

    sources of funds. Financing of working capital through short term sources of funds has thebenefits of lower cost and establishing close relationship with banks. Financing of working

    capital through long term sources provides the benefits of reduces risk and increases liquidity.

    A company's capitalization (not to be confused with market capitalization) describes the

    composition of a company's permanent or long-term capital, which consists of a combination

    of debt and equity. A healthy proportion of equity capital, as opposed to debt capital, in a

    company's capital structure is an indication of financial fitness.

    http://www.investopedia.com/terms/m/marketcapitalization.asphttp://www.investopedia.com/terms/m/marketcapitalization.asphttp://www.investopedia.com/terms/m/marketcapitalization.asp
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    RESEARCH METHODOLOGY

    Objectives of the Study

    1. To assess the impact of working capital on profitability.

    2. To examine the combine effect of the ratios relating to working capital

    management and Companies s profitability indicator Earning Per Share.

    3. To study the impact of capital structure on profitability & shareholders value of

    FMCG companies.

    4. To show which company show better performance in working capital and capital

    structure compare to each other.

    Scope of the study

    We have selected 5 FMCG companies for our research. These 5 FMCG companies according

    to FMCG BSE index on bases of market capitalization.

    BSE FMCG INDEX 01 Nov 15:34

    Company Name Industry LastPrice

    Change %Chg

    Mkt Cap(Rs cr)

    Weight

    ITC Cigarettes 171.60 0.45 0.26 131,983.50 43.08

    HUL Personal Care 293.25 -0.85 -0.29 63,996.53 20.89

    Nestle Food

    Processing

    3,545.20 56.35 1.62 34,181.30 11.16

    Dabur India Personal Care 99.50 -0.10 -0.10 17,320.20 5.65

    Godrej Consumer Personal Care 423.00 4.15 0.99 13,687.86 4.47

    http://finance.indiamart.com/cgi-bin/pricechart_bse30.cgi?sc_did=ITC&compname=ITChttp://finance.indiamart.com/cgi-bin/pricechart_bse30.cgi?sc_did=HU&compname=HULhttp://finance.indiamart.com/cgi-bin/pricechart_bse30.cgi?sc_did=NI&compname=Nestlehttp://finance.indiamart.com/cgi-bin/pricechart_bse30.cgi?sc_did=DI&compname=Dabur%20Indiahttp://finance.indiamart.com/cgi-bin/pricechart_bse30.cgi?sc_did=GCP&compname=Godrej%20Consumerhttp://finance.indiamart.com/cgi-bin/pricechart_bse30.cgi?sc_did=ITC&compname=ITChttp://finance.indiamart.com/cgi-bin/pricechart_bse30.cgi?sc_did=HU&compname=HULhttp://finance.indiamart.com/cgi-bin/pricechart_bse30.cgi?sc_did=NI&compname=Nestlehttp://finance.indiamart.com/cgi-bin/pricechart_bse30.cgi?sc_did=DI&compname=Dabur%20Indiahttp://finance.indiamart.com/cgi-bin/pricechart_bse30.cgi?sc_did=GCP&compname=Godrej%20Consumer
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    We have selected top 5 FMCG manufacturing companies based on market

    capitalization as on 1st Num. 2010.

    We are going to analyze above companys capital structure and working capital

    position for the purpose of knowing the how they are managing these things and how it will

    affects to the profitability and shareholders value.

    Data Collection

    Secondary data:1. 5 years Annual Reports of the companies.

    2. Website of Capital Line

    Data Analysis Tools

    Ratio analysis.

    Average method.

    ANOVA(F test).

    Correlation.

    Regression Analysis.

    Approach

    Descriptive approach

    It is a kind of fact finding research in which we are trying to analyze capital structure and

    working capital position of companies.

    Hypothesis

    Following are the hypothesis to be tested

    Ho1= Average ratios of inventory conversion period of companies do not differ

    significantly.

    Ho2= Average ratios of debtors conversion period of companies do not differ

    significantly

    Ho3= Average ratios of creditors conversion period of companies do not differ

    significantly.

    Ho4= Average ratios of cash conversion period of companies do not differ

    significantly.

    Ho5= There is no significant impact of dependable variable Operating profitindependent variable Earning per share.

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    Ho6= There is no significant difference of dependent variable EPS to the debt equity

    ratio of ITC.

    Ho7= There is no significant difference of dependent EPS variable to debt equity ratio

    of HUL.

    Ho8= There is no significant difference of dependent variable EPS to debt equity ratio

    of Nestle.

    Ho9= There is no significant difference of dependent variable EPS to debt equity ratio

    of Dabur.

    Ho10= There is no significant difference of dependent variable EPS to debt equity

    ratio of Godrej.

    Literature review

    1. Working Capital Management Practices

    A case study of Listed Manufacturing Companies in Sri Lanka(Journal of

    IPM Meerut Volume 11, January-June-2011)

    ABSTRACT

    A study of working capital management is a major importance to internal and external

    analysis because of its close relationship to current day-to-day operations of business. WCM

    refers to the management of working capital, or precisely to the management of current

    assets. A firms working capital consists of its investment in current assets, which include

    mostly short-term assets, cash and bank balance, inventories, receivable, and marketable

    securities. The goal of WCM if to ensure that the firm is able to continue its operations and

    that it has sufficient cash flow to satisfy both maturing short-term debt and upcomingoperational expenses. Therefore, present study is initiated on working capital management

    practices. The results reveals that Aban Limied, and Lalu limited that manage their working

    capital more efficiently that other companies.

    2. Working capital and profitability

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    An empirical analysis by P.C.Narvare(Lecturer, Affiliated to Bakatullah

    university, Bhopal)

    ABSTRACT

    Working capital management and profitability of the company disclosed both negative and

    positive association. Out of the nine ratios selected for the study three ratios, namely CTSR,

    WTR and DTR refistered negative correlation with the selected profitability ratio, RoI. The

    sloped of the ROI.

    Working capital limited of the company concluded the increase in the profitability of the

    company was less than the proportion to decrease in working cpital.

    3. Behavioral Dimension of Cross-Sectoral Capital Structure

    Decisions: ISE (Istanbul Stock Exchange) Application

    AbstractIn our study, we tested whether average leverage level of sector and leverage level

    of sector leader are effective on capital structure decisions of selected firms and sectors

    listed in ISE. We depended on the Approach of Behavioral Finance to this matter as a

    supplementary approach of traditional finance to capital structure. In respect of its

    influence on leverage levels of the firms in four sector we addressed for the period of 1999-2006 (White Goods and Electronic, Banking, Cement, Paper and Packing), while sector

    averages are effective at a meaningful extent in white goods sector, it was seen that it

    affects leverage level of sector leader considerably. In the study we carried out by using

    panel data analysis method, when we consider the firms we addressed as a whole without

    discrimination in sector-specific terms, however, it was seen that both sector average and

    sector leader display a positive relation with leverage level of firms with a significance of

    10%.

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    THEORETICAL ASPECTS OF THESTUDY

    Working Capital

    Working capital refers to the cash a business requires for day-to-day operations, or, more

    specifically, for financing the conversion of raw materials into finished goods, which the

    company sells for payment. Among the most important items of working capital are levels of

    inventory, accounts receivable and accounts payable. Analysts look at these items for signs of

    a company's efficiency and financial strength.

    A managerial accounting strategy focusing on maintaining efficient levels of both

    components of working capital, current assets and current liabilities, in respect to each other.

    Working capital management ensures a company has sufficient cash flow in order to meet its

    short-term debt obligations and operating expenses.

    There are two concepts of working capital: gross and net working capital.

    The term gross working capital, also referred to as working Capital, means the total current

    assets. The term net working capital can be defined in two ways: (i) the most commondefinition of net working capital (NWC) is the difference between current assets and current

    liabilities; and ii) alternate definition of NWC is that portion of current assets which is

    financed with long-term funds.

    The common Definition of NWC and its Implications NWC is commonly defined as the

    difference between current assets and current liabilities. Efficient working capital

    management requires that firms should operate with some amount of NWC, the exact amount

    varying from firm to firm and depending, among other things, on the nature of industry. The

    theoretical justification for the use of NWC to measure liquidity is based on the premise that

    the greater the margin by which the current assets cover the short-term obligations, the more

    is the ability to pay obligations when they become due for payment. The NWC is necessary

    because the cash outflows and inflows do not coincide. In other words, it is the non

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    synchronous nature of cash flows that makes NWC necessary. In general, the cash outflows

    resulting from payment of current liabilities are relatively predictable. The cash inflows are,

    however difficult to predict. The more predictable the cash inflows are, the less NWC will be

    required. A firm, say an electricity generation company, with almost certain and predictable

    cash inflows can operate with little or no NWC. But where cash inflows are uncertain, it will

    be necessary to maintain current assets at a level adequate to cover current liabilities, that isthere must be NWC

    Working capital means the funds (i.e.; capital) available and used for day to day operations

    (i.e.; working) of an enterprise. It consists broadly of that portion of assets of a business

    which are used in or related to its current operations. It refers to funds which are used during

    an accounting period to generate a current income of a type which is consistent with major

    purpose of a firm existence.

    Factors that determine working capital

    The working capital requirements of a concern depend upon a large number of factors such as

    Size of business Nature of character of business. Seasonal variations working capital cycle,

    operating efficiency Profit level, other factors.

    Advantages of working capital

    It helps the business concern in maintaining the goodwill.

    It can arrange loans from banks and others on easy and favorable terms.

    It enables a concern to face business crisis in emergencies such as depression.

    It creates an environment of security, confidence, and overall efficiency in a business.

    It helps in maintaining solvency of the business.

    Disadvantages of working capital

    Rate of return on investments also fall with the shortage of working capital.

    Excess working capital may result into over all inefficiency in organization.

    Excess working capital means idle funds which earn no profits. Inadequate working capital can not pay its short term liabilities in time.

    Management of working capital

    A firm must have adequate working capital, i.e.; as much as needed the firm. It should be

    neither excessive nor inadequate. Both situations are dangerous. Excessive working capital

    means the firm has idle funds which earn no profits for the firm. Inadequate working capital

    means the firm does not have sufficient funds for running its operations. It will be interesting

    to understand the relationship between working capital, risk and return. The basic objective

    of working capital management is to manage firms current assets and current liabilities insuch a way that the satisfactory level of working capital is maintained, i.e.; neither inadequate

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    nor excessive. Working capital some times is referred to as circulating capital. Operating

    cycle can be said to be t the heart of the need for working capital. The flow begins with

    conversion of cash into raw materials which are, in turn transformed into work-in-progress

    and then to finished goods. With the sale finished goods turn into accounts receivable,

    presuming goods are sold as credit. Collection of receivables brings back the cycle to cash.

    The company has been effective in carrying working capital cycle with low working capitallimits. It may also be observed that the PBT in absolute terms has been increasing as a year to

    year basis as could be seen from the above table although profit percentage turnover may be

    lower but in absolute terms it is increasing. In order to further increase profit margins, SSL

    can increase their margins by extending credit to good customers and also by paying the

    creditors in advance to get better rates.

    CAPITAL STRUCTURE

    Directors to make decision on capital structure should make a choice between debt and

    equity. Many studies were carried out on description of factors influencing capital structure

    decisions since Modigliani-Miller as an expression of a choice between debt and equity. As a

    result of these studies based on rationality within the framework of traditional finance,

    different theories were seen regarding description of capital structure in parallel with change

    in expectations and preferences of firm directors and shareholders.We may collect

    descriptions of traditional finance on formation of capital structure mainly in three groups:

    Trade-off Theory, Agency Theory and Pecking Order Theory.

    Trade-off Theory which was set forth by Myers (1984) refers to the necessity of establishing

    a balance between tax saving arising from debt, decrease in agent cost and bankruptcy and

    financial distress costs, since firms may not realize value maximization when they form a

    capital structure using only liabilities source or form a capital structure by using no liability.

    According to Trade-off Theory, firms should balance between costs in order to reach an

    optimal capital structure (Ghosh and Cai,2001).

    Agency Theory is a theory dealing with agent problems due to approach or interest

    differences between director and shareholders caused by distribution of firm cash flow.

    According to the theory, there are agency costs incurred to reduce agent problems in firmscollected under the headings of monitoring costs, guaranty agreement costs and unavoidable

    losses cost (Chambers,Lacey, 1999). However, capital structure decisions are made reducing

    agency costs of equity by high leverage level and increasing market value of the firm for the

    purpose of decreasing agency costs (Berger Allen N.,Pati di Emillia Bonaccorsi, 2002).

    Another capital structure theory is Pecking Order Theory suggested by Myers and Majluf

    (1984). According to the Pecking Order Theory, capital structure of a firm is formed by

    focusing onorder of priority of different sources to meet financial requirements of firms

    (Frank and Goyal, 2007).

    For stock investors that favour companies with good fundamentals, a "strong" balance sheet

    is an important consideration for investing in a company's stock. The strength of a company'

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    balance sheet can be evaluated by three broad categories of investment-quality

    measurements: working capital adequacy,asset performanceandcapital structure.

    The equity part of the debt-equity relationship is the easiest to define. In a company's capital

    structure, equity consists of a company's common and preferred stock plus retained earnings,

    which are summed up in the shareholders' equity account on a balance sheet. This investedcapital and debt, generally of the long-term variety, comprises a company's capitalization, i.e.

    a permanent type of funding to support a company's growth and related assets.

    The combination of a company's long-term debt, specific short-term debt, common equity,

    and preferred equity; the capital structure is the firm's various sources of funds used to

    finance its overall operations and growth. Debt comes in the form of bond issues or long-term

    notes payable, whereas equity is classified as common stock, preferred stock, or retained

    earnings. Short-term debt such as working capital requirements also is considered part of the

    capital structure.

    The proportion of short-term and long-term debt is considered in analyzing a firm's capital

    structure. When people refer to capital structure, they most likely are talking about a firm's

    debt/equity ratio, which provides insight into how risky a company is. Usually a company

    financed heavily by debt poses greater risks because it is highly leveraged.

    http://www.investopedia.com/terms/w/workingcapital.asphttp://www.investopedia.com/terms/w/workingcapital.asphttp://www.investopedia.com/terms/a/assetperformance.asphttp://www.investopedia.com/terms/a/assetperformance.asphttp://www.investopedia.com/terms/c/capitalstructure.asphttp://www.investopedia.com/terms/c/capitalstructure.asphttp://www.investopedia.com/terms/w/workingcapital.asphttp://www.investopedia.com/terms/a/assetperformance.asphttp://www.investopedia.com/terms/c/capitalstructure.asp
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    RATIO

    Current Ratio

    A liquidity ratio that measures a company's ability to pay short-term obligations

    The Current Ratio formula is:

    Current Ratio = Current Assets/Current Liabilities

    Also known as "liquidity ratio", "cash asset ratio" and "cash ratio"

    Quick Ratio

    An indicator of a company's short-term liquidity. The quick ratio measures a

    company's ability to meet its short-term obligations with its most liquid assets. The higher the

    quick ratio, the better the position of the company.

    The quick ratio is calculated as:

    Quick Ratio = Current Assets-Inventories/Current Liabilities

    Also known as the "acid-test ratio" or the "quick assets ratio".

    Inventory Turnover

    A ratio showing how many times a company's inventory is sold and replaced over a period.

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    Generally calculated as:

    Inventory Turnover = Sales/Inventory

    It may also be calculated as: Inventory Turnover = Cost of goods sold/Average inventory

    The days in the period can then be divided by the inventory turnover formula to calculate the

    days it takes to sell the inventory on hand or "inventory turnover days".

    Debtor turnover ratio oraccounts receivable turnover ratio

    It indicates the velocity of debt collection of a firm. In simple words it indicates the number

    of times average debtors (receivable) are turned over during a year.

    Debtors Turnover Ratio = Net Credit Sales / Average Trade Debtors

    Debtors Turnover Ratio = Total Sales / Debtors

    Investment Turnover Ratio

    Return earned on capital invested in a business. It equals: It can be calculated as Sales/Net

    worth + Long term Liabilities.

    A higher ratio indicates good use of the funds placed into the business

    Fixed-Asset Turnover Ratio

    A financial ratio of net sales to fixed assets. The fixed-asset turnover ratio measures a

    company's ability to generate net sales from fixed-asset investments - specifically property,

    plant and equipment (PP&E) - net of depreciation. A higher fixed-asset turnover ratio shows

    that the company has been more effective in using the investment in fixed assets to generate

    revenues.

    The fixed-asset turnover ratio is calculated as:

    Fixed Assets Turnover = Net Sales/Net property,Plan,and Equipment

    Asset Turnover

    The amount of sales generated for every dollar's worth of assets. It is calculated by dividing

    sales in dollars by assets in dollars.

    Formula: Asset Turnover = Revenue / Assets

    Earnings per ShareEPS

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    The portion of a company's profit allocated to each outstanding share of common

    stock. Earnings per share serve as an indicator of a company's profitability.

    Calculated as:

    EPS = Net income-Dividends on preferred stock/Average Outstanding Shares

    Operating Profit

    The profit earned from a firm's normal core business operations. This value does not include

    any profit earned from the firm's investments (such as earnings from firms in which the

    company has partial interest) and the effects of interest and taxes.

    Also known as "earnings before interest and tax" (EBIT)

    Calculated as: Operating profit = operating revenue operating expenses

    When calculating, it is more accurate to use a weighted average number of shares outstanding

    over the reporting term, because the number of shares outstanding can change over time.

    However, data sources sometimes simplify the calculation by using the number of shares

    outstanding at the end of the period.

    Diluted EPS expands on basic EPS by including the shares of convertibles or warrants

    outstanding in the outstanding shares number.

    Debt/Equity Ratio

    A measure of a company's financial leverage calculated by dividing its total

    liabilities by stockholders' equity. It indicates what proportion of equity and debt the

    company is using to finance its assets.

    Calculated: D/E Ratio : Total liabilities/Shareholders Equity

    Management of working capital practice ratios

    Type of Ratios Explanations Calculation

    The Inventory conversion

    period(ICP)

    ICP is the time required to

    convert inventory into cash

    Average stock value*

    365/Cost of sales

    Debtors Conversion

    Period(DCP)

    DCP is the time required to

    collect the cash from

    debtors.

    Average Debtors *365/

    Net Credit Sales

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    Creditors Conversion

    period(CCP)

    CCP is the length of time the

    firm is able to defer

    payments on various

    resource purchases.

    Average Creditors *

    365/Cost of Sales

    Cash Conversion Cycle

    (CCC)

    CCC is the length of time

    between a firms purchase ofinventory and the receipt of

    cash from accounts

    receivable

    CCC=ICP+DCP-CCP

    DATA ANALYSIS & FINDINGS

    Working capital practice in the selected companies

    A firms working capital consists of its investment in current assets, which include mostly

    short-term assets, cash and bank balance, inventories, receivable, and marketable securities.

    The goal of WCM if to ensure that the firm is able to continue its operations and that it has

    sufficient cash flow to satisfy both maturing short-term debt and upcoming operationalexpenses. Therefore, present study is initiated on working capital management practices.

    Hypotheses

    Ho1=Average ratios of inventory conversion period of companies do not differ

    significantly.

    Ho2=Average ratios of debtors conversion period of companies do not differ

    significantly

    Ho3=Average ratios of creditors conversion period of companies do not differ

    significantly. Ho4=Average ratios of cash conversion period of companies do not differ

    significantly.

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    Results and discussions

    1. The inventory conversion period(ICP)The inventory conversion period of FMCG five companies is given below.

    YEAR ITC HUL NESTLEDABUR

    INDIA

    GODREJ

    CONSUMERMEAN

    2005-06 51 64 45 39 60 52

    2006-07 65 61 44 40 64 55

    2007-08 67 64 47 43 76 59

    2008-09 83 55 47 45 64 58

    2009-10 72 51 44 47 37 50

    MEAN 68 59 45 43 60 55

    Source: calculated from the figures available in the balance sheets , profit and loss, income

    statements of the companies concerned.

    From the table it is found that the inventory conversion period of 2007-08 highest of 59 days

    and 2005-06 lowest of 52 days. The table indicate that Nestle and Dabur India were

    companies to hold inventory for lesser number of days than the yearly industry average

    holding period during the entire study period whereas, Itc, Hul, Godrej Consumer held its

    inventory for more than the yearly industry average holding during the entire study period

    which were much above the yearly industry average and the overall aggregate holding period

    of 55 days. Hence Nestle and Dabur India companies were efficient by holding the inventory

    lesser period that the overall industry aggregate holding period of 55 days.

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    The average ICP of selected companies have been compared using F-test and co relation

    tested by the following.

    Ho1=Average ratios of inventory conversion period of companies do not differ

    significantly.

    The significant level at 5%, F critical value (5,16) is 9.72 and result of F-test is 0.081 which

    indicates that inventory conversion period s null hypothesis is accepted. ICP period of

    companies do not differ significantly.

    There is negative relationship between ( -0.8972) industry mean and company mean.

    2. Debtors Conversion Period (DCP)The Debtors conversion period of FMCG 5 companies is given below.

    YEAR ITC HUL NESTLEDABUR

    INDIA

    GODREJ

    CONSUMERMEAN

    2005-06 46 53 37 33 51 44

    2006-07 54 48 38 36 42 44

    2007-08 59 40 40 30 47 43

    2008-09 71 23 34 34 37 40

    2009-10 67 21 36 28 53 41

    MEAN 59 37 37 32 46 42

    Source: calculated from the figures available in the balance sheets , profit and loss, income

    statements of the companies concerned.

    It is seen that from the table the debtors conversion period companies varied between the

    highest of 44 days and lowest of 40 days and aggregate holding period was 42 days . The data

    in the table indicate that HUL, NESTLE, DABUR INDIA were companies to hold debtors for

    lesser number of days than the yearly industry average holding period during the entire study

    period whereas, ITC, GODREJ CONSUMER held its debtors for more than the yearly

    industry average holding during the entire study period. Hence HUL, NESTLE, DABUR

    INDIA companies were efficient by holding the debtors lesser period that the overall industry

    aggregate holding period of 42 days.

    The average DCP of selected companies have been compared using F-Test and correlationare tested by the following .

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    Ho2=Average ratios of debtors conversion period of companies do not differ

    significantly

    The significant level at 5%, F critical value (5,16) is 9.72 and result of F-test is 0.0001 which

    indicates that inventory conversion period s null hypothesis is accepted. ICP period ofcompanies do not differ significantly.

    There is positive relationship between ( 0.4811) industry mean and company mean.

    3. Creditors conversion Period(CCP)The creditors conversion period of FMCG 5 companies is given below.

    YEAR ITC HUL NESTLEDABUR

    INDIA

    GODREJ

    CONSUMERMEAN

    2005-06 61 118 56 69 107 82

    2006-07 69 121 58 69 116 87

    2007-08 77 125 58 71 123 91

    2008-09 92 99 55 63 105 83

    2009-10 86 102 52 64 115 84

    MEAN 77 113 56 67 113 85

    Source: calculated from the figures available in the balance sheets, profit and loss, income

    statements of the companies concerned.

    It is clear that from the table the creditors conversion period of companies highest of 91 daysin year 2007-08 and the lowest of 82 days in the year 2005-06 and aggregate holding period

    was 85 days . The data in table indicate that HUL, GODREJ CONSUMER were companies

    to hold creditors for higher number of days than the yearly industry average holding during

    the entire study period whereas, ITC, NESTLE, GODREJ CONSUMER held its creditors for

    less than the yearly industry average holding during the entire study period. Hence, we can

    say that on an average basis HUL, GODREJ CONSUMER were efficient by holding the

    creditors for higher number of days that the overall industry aggregate holding period of 85

    days.

    The average CCP of selected companies have been compared using one-way ANOVA and

    are tested by the following.

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    Ho3=Average ratios of creditors conversion period of companies do not differ

    significantly.

    The significant level at 5%, F critical value (5,16) is 9.72 and result of F-test is 0.00181

    which indicates that inventory conversion period s null hypothesis is accepted. ICP period of

    companies do not differ significantly.

    There is negative relationship between (-0.25891) industry mean and company mean.

    4. Cash Conversion Cycle(CCC)The cash conversion cycle of FMCG 5 companies is given below.

    YEAR ITC HUL NESTLEDABUR

    INDIA

    GODREJ

    CONSUMERMEAN

    2005-06 36 -1 26 3 4 14

    2006-07 50 -12 24 7 -10 12

    2007-08 46 -21 29 2 0 11

    2008-09 62 -21 26 16 -4 16

    2009-10 53 -30 28 11 -25 7

    MEAN 49 -17 27 8 -7 12

    Source: calculated from the figures available in the balance sheets, profit and loss, income

    statements of the companies concerned.

    From the table it is found that the CCC of companies were varied between the highest of 16

    days and lowest of 7 days in the year and the aggregate holding period was 12 days. The data

    in table indicate that companies held cash conversion for lesser number of days 2007-08 and

    2009-10 than aggregate overall average mean. Hence, HUL, DABUR INDIA, GODREJ

    CONSUMER companies were efficient by holding the cash lesser period compare with ITC

    and NESTLE.

    The average CCC of selected companies have been compared using F-test and correlation

    and are tested by the following.

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    H0=Average ratios of cash conversion period of companies do not differ

    significantly.

    The significant level at 5%, F critical value (5,16) is 9.72 and result of F-test is 0.0010 which

    indicates that inventory conversion period s null hypothesis is accepted. ICP period of

    companies do not differ significantly.

    There is positive relationship between (0.3781) industry mean and company mean.

    FINDINGS

    WCM ensure a company has sufficient cash flow in order to meet its short-term debt

    obligations and operating expenses. These involve managing the relationship between the

    short-term assets and its short-term liabilities.

    Following are results by which company performing well in different ratios.

    Type of Ratio Company nameICP DABUR,NESTLE

    DCP HUL,NESTLE,DABUR INDIA

    CCP HUL, GODREJ CONSUMER

    CCC

    HUL, DABUR, GODREJ

    CONSUMER

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    Working capital and profitability

    In Conventional production function approach for determination of relationship between

    output and profit, fixed capital is taken in to account as explanatory variable amongst others,

    the role of working capital is ignored. It is therefore felt that there is the need to study the

    important role working capital in profit generating process. The impact of working capital has

    been examined by computing co-efficient of correlation and regression between profitability

    ratio and working capital.

    Name ofCompany Year

    CurrentRatio

    QuickRatio

    InventoryTurnover

    Ratio

    DebtorsTurnover

    Ratio

    InvestmentsTurnover Ratio

    ITC

    2005-06

    1.25 0.57 3.82 18.22 6.43

    2006-07

    1.33 0.58 3.76 20.79 6.05

    2007-08

    1.36 0.56 5.51 20.43 5.51

    2008-09

    1.42 0.61 5.26 21.32 5.26

    2009-10

    0.92 0.39 6.04 24.31 6.04

    HUL

    2005-06

    0.7 0.33 8.57 22.12 9.97

    2006-07

    0.73 0.34 8.02 25.42 9.27

    2007-08

    0.68 0.25 7.2 31.41 8.2

    2008-09

    0.92 0.51 9.26 41.83 9.26

    2009-10

    0.84 0.46 8.99 29.24 8.99

    NESTLE 2005-06

    0.66 0.28 9.87 87.32 12.02

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    2006-07

    0.67 0.31 10.28 65.35 12.01

    2007-08

    0.66 0.23 8.79 64.09 10.02

    2008-09

    0.66 0.29 11.39 87.37 11.39

    2009-10

    0.6 0.24 11.61 93.68 11.61

    DABURINDIA

    2005-06

    0.82 0.52 11.65 35.3 14.44

    2006-07

    0.97 0.63 11.11 39.7 13.44

    2007-08

    0.91 0.58 12.52 25.94 12.52

    2008-09

    1.19 0.99 10.94 22.63 10.94

    2009-10

    0.93 0.68 11.31 23.62 11.31

    GODREJCONSUMER

    2005-06 0.68 0.19 7.54 112.08 8.08

    2006-07

    0.75 0.33 6.53 93.26 6.96

    2007-08

    0.86 0.34 5.7 81.1 5.7

    2008-09

    2.07 1.72 9.25 99.37 9.25

    2009-10

    1.3 0.95 7.93 59.25 7.93

    NAME OF

    COMPANY YEAR

    FIXEDASSETS

    TURNOVER

    RATIO

    TOTALASSETS

    TURNOVER

    RATIO

    EARNINGSPER

    SHARE

    DEBTEQUITY

    RATIO

    OPERATINGPROFIT

    ITC

    2005-06 2.31 1.08 5.95 0.01 34.36

    2006-07 2.42 1.17 7.18 0.02 32.51

    2007-08 1.59 1.16 8.28 0.02 31.57

    2008-09 1.44 1.09 8.65 0.01 32.84

    2009-10 1.58 1.33 10.64 0.01 33.02

    HUL

    2005-06 8.47 5.14 6.4 0.02 14.14

    2006-07 9.3 4.67 8.41 0.03 14.74

    2007-08 9.8 10.53 8.12 0.06 14.95

    2008-09 7.81 9.22 11.47 0.2 14.46

    2009-10 5.35 7.66 10.09 0 15.74

    NESTLE

    2005-06 5.61 7.67 32.11 0.04 20.29

    2006-07 5.77 8.02 32.68 0.04 18.86

    2007-08 6.1 9.52 42.92 0.01 19.5

    2008-09 3.2 10.29 55.390 19.33

    2009-10 3.24 9.75 67.94 0 19.74

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    DABURINDIA

    2005-06 7.3 2.94 3.3 0.05 17.9

    2006-07 8.51 4.3 2.92 0.05 17.45

    2007-08 4.67 3.98 3.67 0.03 18.6

    2008-094.84 2.81 4.32 0.19 18.33

    2009-10 4.31 3.44 4.99 0.14 19.17

    GODREJCONSUME

    R

    2005-06 11.82 14.31 21.47 0.06 21.1

    2006-07 9.47 5.01 5.4 1.02 20.01

    2007-08 4.6 4.18 6.56 0.89 22.27

    2008-09 4.18 1.84 6.29 0.12 15.54

    2009-10 4.73 1.53 8.05 0.01 21.47

    ANALYSIS OF HYPOTHESIS

    Ho1: There is no significant impact of dependable variable Earning per share to independent

    variable current ratios, Quick ratios, inventory turnover, debtor turnover, asset turnover,

    investment turnover, fixed assets turnover, total assets turnover.

    Model Summary

    Model R R

    Square

    Adjusted R

    Square

    Std. Error of

    the Estimate

    1 0.925 0.856 0.796 7.8293

    a Predictors: (Constant), total assests turnover, investment turnover, debtor turover, fixed

    assets turnover, Quick ratio, inventory turnover, current ratio

    ANOVA

    Model Sum of

    Squares

    df Mean

    Square

    F Sig.

    1 Regression 6177.818 7 882.54

    5

    14.398 0

    Residual 1042.055 17 61.297

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    Total 7219.873 24

    a Predictors: (Constant), total assests turnover, investment turnover, debtor turover, fixed

    assets turnover, Quick ratio, inventory turnover, current ratio

    b Dependent Variable: earning per share

    Coefficients

    Unstandardize

    d Coefficients

    Standardized

    Coefficients

    t Sig.

    Model B Std. Error Beta

    1 (Constant) 12.164 23.54 0.517 0.61

    current ratio -7.204 23.051 -0.143 -0.31 0.76

    Quick ratio -5.872 23.331 -0.111 -0.25 0.8

    inventory turnover -1.573 2.432 -0.231 -0.65 0.53debtor turover 0.206 0.067 0.369 3.071 0.01

    investment turnover 2.825 1.825 0.433 1.548 0.14

    fixed assets turnover -4.657 0.883 -0.772 -5.28 0

    total assests turnover 2.961 0.874 0.639 3.388 0

    a Dependent Variable: earning per share

    Findings

    Here in significance level of F value in ANOVAs table is less than 0.05 which show there is

    accepted alternative hypothesis and by showing coefficient table we can see there is

    significant effect of debtor turnover , fixed assets turnover, total assets turnover effect.

    Following regression model can be made by this

    Y = a + bx

    = 12.164 -7.204x1-5.872x2-1.573x3+0.206x4+2.825x5-4.657x6+2.961x7

    x1=current ratios, x2=quick ratios, x3=inventory turnover, x4=debtor turnover,

    x5=investment turnover, x6=fixed assets turnover, x7=total assets turnover

    By changing any value in above ratio we can see effect to EPS by this model.

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    Ho1: There is no significant impact of dependable variable Operating profit independent

    variable current ratios, Quick ratios, inventory turnover, debtor turnover, asset turnover,

    investment turnover, fixed assets turnover, total assets turnover.

    Model Summary

    Model R R Square Adjusted R

    Square

    Std. Error of the

    Estimate

    1 0.93 0.863 0.806 2.8193

    a Predictors: (Constant), total assests turnover, investment turnover, debtor turover, fixed

    assets turnover, Quick ratio, inventory turnover, current ratio

    ANOVA

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 847.986 7 121.141 15.24 0

    Residual 135.126 17 7.949

    Total 983.111 24

    a Predictors: (Constant), total assests turnover, investment turnover, debtor turover, fixed

    assets turnover, Quick ratio, inventory turnover, current ratio

    b Dependent Variable: operating profit

    Coefficients

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    Unstandardized

    Coefficients

    Standardized

    Coefficients

    t Sig.

    Model B Std. Error Beta

    1 (Constant) 26.303 8.477 3.103 0.006

    current ratio 15.651 8.301 0.842 1.886 0.077

    Quick ratio -19.587 8.401 -0.999 -2.331 0.032

    inventory turnover -1.026 0.876 -0.409 -1.171 0.258

    debtor turover 2.19E-02 0.024 0.106 0.907 0.377

    investment turnover 0.559 0.657 0.232 0.851 0.407

    fixed assets turnover -0.967 0.318 -0.434 -3.04 0.007

    total assests turnover -0.426 0.315 -0.249 -1.353 0.194

    a Dependent Variable: operating profit

    Findings

    Here in significance level of F value in ANOVAs table is less than 0.05 which show there is

    accepted alternative hypothesis and by showing coefficient table we can see there is

    significant effect of fixed assets turnover , quick ratio effect.

    Following regression model can be made by this

    Y = a + bx

    = 26.303 +15.651x1-19.587x2-1.026x3+2.191x4+0.559x5+0.967x6+0.426x7

    a=constant, x1=current ratios, x2=quick ratios, x3=inventory turnover, x4=debtor turnover,

    x5=investment turnover, x6=fixed assets turnover, x7=total assets turnover

    By changing any value in above ratio we can see effect to Operating profit by this model.

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    Analysis for capital structure

    Ho1: There is no significant impact of dependable variable Operating profit independent

    variable Earning per share.

    Model Summary

    Model R R Square Adjusted R

    Square

    Std. Error of the

    Estimate

    1 0.09 0.007 -0.036 6.5144

    a Predictors: (Constant), debt equity ratio

    ANOVA

    Model Sum of

    Squares

    Df Mean Square F Sig.

    1 Regression 7.054 1 7.054 0.166 0.687

    Residual 976.058 23 42.437

    Total 983.111 24

    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: operating profit

    Coefficients

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    Unstandardized

    Coefficients

    Standardize

    d

    Coefficients

    T Sig.

    Model B Std. Error Beta

    1 (Constant) 21.371 1.445 14.79 0

    debt equity ratio -2.103 5.159 -0.085 -0.41 0.69

    a Dependent Variable: operating profit

    Findings

    Here in significance level of F value in ANOVAs table is more than 0.05 which show there

    is rejected alternative hypothesis and by showing coefficient table we can see there is no

    significant.

    Comparison of individual companys performance for capital structure

    Ho1: There is no significant difference of dependent variable EPS to the debt equity ratio of

    ITC.

    Correlations

    earning per share debt equityratio

    Pearson

    Correlation

    earning per share 1 -0.214

    debt equity ratio -0.21 1

    Sig. (1-tailed) earning per share . 0.365

    debt equity ratio 0.37 .

    N earning per share 5 5

    debt equity ratio 5 5

    Model Summary

    R R

    Square

    Adjusted

    R Square

    Std. Error

    of the

    Estimate

    Change

    Statistics

    Durbin-

    Watson

    Model R

    Square

    Change

    F

    Change

    df

    1

    df

    2

    Sig. F

    Change

    0.2

    1

    0.046 -0.272 1.9737 0.046 0.14 1 3 0.73 0.764

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    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: earning per share

    ANOVA

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 0.56 1 0.56 0.144 0.73

    Residual 11.687 3 3.896

    Total 12.247 4

    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: earning per share

    Coefficients

    Unstandardized

    Coefficients

    Standar

    dized

    Coeffic

    ients

    t Sig. 95%

    Confidenc

    e Interval

    for B

    Model B Std.Error

    Beta Lower Bound

    UpperBound

    1 (Con

    stant)

    9.1 2.672 3.4 0.042 0.592 17.602

    debt

    equit

    y

    ratio

    -68.3 180.178 -0.21 -

    0.3

    8

    0.73 -641.731 505.065

    a Dependent Variable: earning per share

    Conclusion :- The value of F significant is more than 0.05 so there is accepted null

    hypothesis. So we can see that there is no impact show of EPS to the debt equity ratio ITC.

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    Ho1: There is no significant difference of dependent EPS variable to debt equity ratio of

    HUL.

    Correlations

    earning per share debt equity

    ratioPearson

    Correlation

    earning per share 1 0.647

    debt equity ratio 0.65 1

    Sig. (1-tailed) earning per share . 0.119

    debt equity ratio 0.12 .

    N earning per share 5 5

    debt equity ratio 5 5

    Model Summary

    R R

    Square

    Adjusted

    RSquare

    Std. Error

    of theEstimate

    Change

    Statistics

    Durbin-

    Watson

    Model R Square

    Change

    F Change df1 df2 Sig. F

    Change

    1 0.65 0.419 0.225 1.7119 0.419 2.16 1 3 0.24 0.96

    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: earning per share

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    ANOVA

    R R

    Squar

    e

    Adjusted

    R

    Square

    Std.

    Error of

    the

    Estimate

    Change

    Statistics

    Durbin-

    Watson

    Model R

    Square

    Change

    F

    Change

    df1 df2 Sig. F

    Change

    1 0.6

    5

    0.419 0.225 1.7119 0.419 2.16 1 3 0.24 0.96

    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: earning per share

    Coefficients

    a Dependent Variable: earning per share

    Findings

    The value of F significant is more than 0.05 so there is accepted null hypothesis. So we can

    see that there is no impact show of EPS to debt equity ratio to HUL.

    Unstandardized

    Coefficients

    Standar

    dized

    Coeffici

    ents

    t Sig. 95%

    Confidence

    Interval for B

    M

    od

    el

    B Std. Error Beta Lower

    Bound

    Upper

    Bound

    1 (Constant) 7.925 1.012 7.828 0 4.703 11.15

    debt equity

    ratio

    15.698 10.682 0.647 1.469 0.24 -18.298 49.69

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    Ho1: There is no significant difference of dependent variable EPS to debt equity ratio of

    Nestle.

    Correlations

    earning per share debt equity ratio

    Pearson Correlation earning per share 1 -0.901

    debt equity ratio -0.901 1

    Sig. (1-tailed) earning per share . 0.018

    debt equity ratio 0.018 .

    N earning per share 5 5

    debt equity ratio 5 5

    Model Summary

    R RSquare

    Adjusted R

    Square

    Std. Errorof the

    Estimate

    ChangeStatistics

    Durbin-Watson

    Mode

    l

    R Square

    Change

    F Change df1 df2 Sig. F

    Change

    1 0.9 0.812 0.749 7.7117 0.812 13 1 3 0.04 1.636

    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: earning per share

    ANOVA

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    Model Sum of Squares df Mean Square F Sig.

    1 Regression 770.751 1 770.751 12.96 0.037

    Residual 178.409 3 59.47

    Total 949.16 4

    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: earning per share

    Coefficients

    Unstandard

    ized

    Coefficient

    s

    Standa

    rdized

    Coeffi

    cients

    t Sig. 95%

    Confidence

    Interval for

    B

    Model B Std.

    Error

    Beta Lower

    Bound

    Upper Bound

    1 (Constant) 58.4 4.834 12.08 0 43.018 73.78

    debt equity

    ratio

    -677.333 188.145 -0.901 -3.6 0.04 -1276.09 -78.6

    a Dependent Variable: earning per share

    Findings:

    The value of F significant is less than 0.05 so there is rejected null hypothesis. So we can see

    that there is impact show of EPS to debt equity ratio of NEstleI.

    Following regression model can be made by this

    Y = a + bx

    = 58.400-677.33x1

    a=constant, x1=debt equity ratio

    By changing any value in above ratio we can see effect to EPS by this model to NESTLE.

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    Ho1: There is no significant difference of dependent variable EPS to debt equity ratio of

    Dabur.

    Correlations

    earning per share debt equity ratio

    Pearson Correlation earning per share 1 0.76

    debt equity ratio 0.76 1

    Sig. (1-tailed) earning per share . 0.068

    debt equity ratio 0.068 .

    N earning per share 5 5

    debt equity ratio 5 5

    Model Summary

    R RSquar

    e

    AdjustedR Square

    Std.Error of

    the

    Estimate

    ChangeStatistic

    s

    Durbin-Watson

    Model R

    Square

    Change

    F

    Chan

    ge

    df1 df2 Sig. F

    Change

    1 0.7

    6

    0.578 0.437 0.6185 0.578 4.11 1 3 0.14 2.527

    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: earning per share

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    ANOVA

    Model Sum of Squares Df Mean

    Square

    F Sig.

    1 Regression 1.572 1 1.572 4.11 0.14

    Residual 1.148 3 0.383

    Total 2.72 4

    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: earning per share

    Coefficients

    Unstandar

    dized

    Coefficien

    ts

    Standardi

    zed

    Coefficien

    ts

    t Sig. 95%

    Confide

    nce

    Interval

    for B

    M

    od

    el

    B Std.

    Error

    Beta Lower

    Bound

    Upper Bound

    1 (Constant) 3.009 0.494 6.086 0.01 1.436 4.583

    debt equity ratio 9.03 4.454 0.76 2.027 0.14 -5.146 23.21

    a Dependent Variable: earning per share

    Findings

    The value of F significant is more than 0.05 so there is accepted null hypothesis. So we can

    see that there is no impact show of EPS to debt equity ratio of DABUR.

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    Ho1: There is no significant difference of dependent variable EPS to debt equity ratio of

    Godrej.

    Correlations

    earning per share debt equity ratio

    Pearson Correlation earning per share 1 -0.498

    debt equity ratio -0.498 1

    Sig. (1-tailed) earning per share . 0.197

    debt equity ratio 0.197 .

    N earning per share 5 5

    debt equity ratio 5 5

    Model Summary

    R R

    Square

    Adjuste

    d R

    Square

    Std. Error

    of the

    Estimate

    Change

    Statistics

    Durbin-

    Watson

    Model R Square

    Change

    F

    Change

    df1 df2 Sig. F

    Chang

    e

    1 0.5 0.248 -0.003 6.739 0.248 0.99 1 3 0.39 0.898

    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: earning per share

    ANOVA

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    Model Sum of Squares df Mean Square F Sig.

    1 Regression 44.884 1 44.884 0.988 0.39

    Residual 136.243 3 45.414

    Total 181.127 4

    a Predictors: (Constant), debt equity ratio

    b Dependent Variable: earning per share

    Coefficients

    Unstandard

    izedCoefficient

    s

    Standardize

    dCoefficient

    s

    t Sig. 95%

    ConfidenceInterval for

    B

    Mode

    l

    B Std.

    Error

    Beta Lower

    Bound

    Upper Bound

    1 (Constant) 12.413 4.166 2.98 0.06 -0.844 25.67

    debt

    equity

    ratio

    -6.807 6.847 -0.498 -0.99 0.39 -28.598 14.98

    a Dependent Variable: earning per share

    Findings

    The value of F significant is more than 0.05 so there is accepted null hypothesis. So we can

    see that there is no impact show of EPS to debt equity ratio of GODREJ CONSUMER.

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    CONCLUSION

    In todays scenario, even common man is an investor for them it is crucial decision whether

    to relay on tips, trends or perception or ratio analysis; which ratios should consider and which

    should be ignored.

    By using ratios of different companies we can concluded following results

    For working capital practice following companies played important role

    Type of Ratio Company name

    ICP DABUR,NESTLE

    DCP HUL,NESTLE,DABUR INDIACCP HUL, GODREJ CONSUMER

    CCC

    HUL, DABUR, GODREJ

    CONSUMER

    For Working capital impact on profitability by comparing impact of dependent variable

    earning per share and operating profit to other different ratios companies played important

    and vital role. They were performing well in working management performance. They were

    managing it very well.

    For Capital structure impact to profitability indicator operating profit to earning per share.

    Companies were have no significant relation between these two variable. We can see that

    overall impact of FMCG s 5 companies were no such impact to earning per share by

    operating profit.

    For Individual companies performance based on indicator Earning per share to Debt equity

    ratio effect to individual company Nestle played an vital role on it.

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    Bibliography

    Journal of Financial and Strategic Decisions, Vol.9, No.2, pp.55-67.

    The Journal of Finance, Vol.XLIV, No.1, pp.19-40.

    www.bseindia.com

    www.capitalline.com

    http://www.bseindia.com/http://www.capitalline.com/http://www.bseindia.com/http://www.capitalline.com/