1. Profitability Analysis
of Dabur Nepal
Seminar in Working Capital Management
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2. Introduction to Dabur Nepal
Dabur Nepal Private Limited was
established as an Independent Group
Company in 1992
CEO: Mr. Udyan Ganguly
General Products:
Health Care
• Dabur Chyawanprash
• Dabur Honey
Personal Care
• Dabur Amla Hair Oil
• Vatika Shampoo
Food
• Real Juice
• Homemade Cooking Paste
Annual Turnover: 52142.18 lacs
(Approx.)
Total Assets: 23784.33 lacs (Approx.) www.themegallery.com LOGO
3. Introduction to Dabur Nepal
Certified
Increased for
Started with the turnover HACCP 2012
Won the best
prodn. of oil, by 19 % 2009
exporter
dantmanjan & 2006
award
other herbal 2004
products 2002 First
1998 SAP FMCG to
1994 launch its
1992 Best online
manufacturing shopping
Bought 300 & marketing portal
Estd.i
acres plot in company
n1989
Banepa for
Nursery
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4. Working Capital
Management
WCM is 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 requirement decides the liquidity and profitability
of a firm
Working capital management ensures a company has sufficient
cash flow in order to meet its short-term debt obligations and
operating expenses
Key Aspects include,
Liquidity
Leverage
Profitability
Cash Conversion Cycle
Size of the Firm
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5. Objectives of the
Study
To analyze the relationship between Working Capital
Efficiency and Profitability in Dabur Nepal
To analyze the relationship between Liquidity and
Profitability in Dabur Nepal
To examine the relationship between Liquidity and
Leverage of Dabur Nepal
To examine the relationship between the size of the firm
and profitability of Dabur Nepal
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6. Issues
The working capital policy is the firm’s policy about its working
capital level and how its working capital should be financed…
decisions about how much to keep in its cash account, what
level of inventory to maintain, and how much to allow
receivables to build up” (Danh, 1999)
New Zealand Department of Treasury (2007) concluded that
operating with more working capital than is necessary leads to
over-investment which represents an unnecessary cost
Vijaykumar and Venkatachalam (1995) concluded that liquidity
was negatively associated with profitability
Shin and Soeven (1998) and Koperunthevi (2010) found a
negative relationship between cash conversion cycle and
profitability
Koperunthevi (2010) concluded that the working capital
management very much influences profitability of
manufacturing companies and increase in the cash conversion
cycle leads to less profitability. www.themegallery.com LOGO
7. Methodology
Population: 18 manufacturing companies listed in the
Nepal Stock Exchange(NEPSE) market
Sample: 1 sample company
Observation: 5
Study Period: 2006-2010 (5 years)
Data Extraction: Use of many secondary data, mainly the
Annual Reports
Balance Sheets
Income Statements
Techniques: Descriptive Statistics, Correlation Analysis
and Regression Analysis
Tools: MS - Excel
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8. Variables
Return on Assets (ROA) = Net Profit/ Total Assets
Return on Equity (ROE) = Net Profit/ Total Equity
Current Ratio = Current Assets / Current Liabilities
Quick Ratio = (Current Assets – Inventories) / Current
Liabilities
Accounts Receivable Period (ARP) = (Accounts
Receivable x 365) / Sales
Inventories Turnover Period (ITP) = (Inventories x 365) /
Cost of Goods Sold
Account Payable Period (APP) = (Accounts Payable x
365) / Cost of Goods Sold
Cash Conversion Cycle (CCC) = (ITP + ARP – APP)
Debt Ratio (DR) = Total Debt/ Total Assets
Size of the Firm = ln (Total Sales) www.themegallery.com LOGO
9. Study Models
Quick
Ratio
ROA
Size of
Current
the
Ratio
Firm
Cash
Conversion Model 2
Cycle
ROA = α + β1QR+ β2CR+ β3Size+€ ITP
Current
Ratio ROE
Return on
Debt ratio
Equity
APP ARP
Model 1
CR = α + β1ROE+ β2DR+ β3CCC+€ Model 3
ROE = α + β1ITP+ β2APP+ β3ARP+€
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20. Model 1
Here, liquidity (current ratio) is
Regression Statistics dependent variable. The Cash
Multiple R 0.99 Conversion Cycle, Debt Ratio and
R Square 0.97
ROE are independent variables
Adjusted R Square 0.88
Standard Error 0.19 This means that 97% (approx)
Observations 5.00 change in the dependent variable is
explained by the change in the other
3 dependent variables
Coefficie Standard t Stat P-value 19% is the adjustment factor for the
nts Error accuracy of the data
Intercep 11.798 5.523 2.136 0.279 Positive changes in the CCC would
t increase Current Ratio by 11.798
CCC 0.053 0.014 3.944 0.158
units
ROE -14.179 7.520 -1.885 0.310
Debt -2.617 0.851 -3.074 0.200 ROE is negatively related with
Ratio Current Ratio
The Debt ratio is also negatively
correlated with Current Ratio by
2.617 units
The p-values of all CCC, ROE and
Debt ratio have a p-value greater
than 0.05 www.themegallery.com LOGO
21. Model 2
In this model, ROA, a measure of
Regression Statistics profitability is the dependent variable
Multiple R 1.00 and the independent variables are
R Square 0.99 Quick Ratio, Current Ratio and the
Adjusted R Square 0.96 Size of the Firm
Standard Error 0.02
99% (approx) change in the
Observations 5.00
dependent variables are explained by
the change in the other 3 dependent
variables
Coefficie Standard t Stat P- At a level of 2%, which is the
nts Error value adjustment factor for the accuracy of
Intercept -3.873 0.744 -5.203 0.121 the data
Quick Ratio -0.168 0.045 -3.749 0.166
Current Ratio 0.052 0.022 2.351 0.256 With negative fluctuation in the
Size of the 0.413 0.073 5.657 0.111 profitability measure, Quick Ratio
Firm would increase by -0.17
Current Ratio also seems to have a
positive relationship with ROA
The size of the firm is positively
correlated with ROE as well.
The level of risk present in this model
is 0.02, i.e. 2%.
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22. Model 3
In this model the ROE is the
Regression Statistics dependent variable and the other
Multiple R 0.86 independent variables are inventory
R Square 0.74
turnover period, account payable
Adjusted R Square -0.05
Standard Error 0.02
period and account receivable period
Observations 5.00 74% change in the dependent
variables is explained by the change
in the other 3 dependent variables
2% is the adjustment factor for the
Coefficie Standard t Stat P- accuracy of the data
nts Error value Positive changes in the ITP would
Intercept 0.653 0.166 3.931 0.159 increase ROE by 0.017 units
ITP 0.002 0.002 1.001 0.500
APP -0.001 0.001 - 0.525 The APP is negatively related with
0.925 ROE
ARP 0.001 0.003 0.473 0.719 Account receivable period is
positively correlated with ROE
Level of risk presented in this model
is 0.02, i.e. 2%.
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23. Conclusion
Dabur Nepal has significant Return of Assets as well. This is reflected
in increasing profitability of Dabur Nepal.
Average ROA is 0.244 (Approx)
Leverage has negative correlation with liquidity as shown by negative
correlation with Quick ratio and Current Ratio at -0.719 and -0.754
respectively.
ROA, being a measure of profitability shows a negative correlation with
both measures of liquidity, Current ratio as well as quick ratio, in -0.058
and -0.673.
The Level of debt in Dabur Nepal had reached high levels some years
ago, yet it has regained a better position recently.
Average debt level lies at 0.275 (Approx)
The size of the firm is increasing annually due to rise in sales of various
products offered by Dabur Nepal.
The Average size of the firm relative to its level of sales is 10.083
(Approx)
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24. Conclusion
Cash Conversion Cycle and Profitability: Positive
Relationship
Liquidity and Profitability : Negative Relationship
Liquidity and Leverage : Negative Relationship
Size of the firm and Profitability : Positive
Relationship
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HACCP:Hazard Analysis & Critical Control PointFMCG: Fast Moving Consumer GoodsSAP: System Application & Products, which creates a common centralized database for all the applications running in an organization
Put WCM figure!!
Literature Review…..
Dabur not listed in NEPSE
Α = constant, value still fluctuates if no change€= standard error term
Standard Error= causes change even if no change in independent variables