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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/