Journal of Management Research and Analysis

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Get Permission Gill: Relationship between liquidity and profitability: An analysis of Indian cement companies


Introduction

Maintaining daily liquidity is the most important part of working capital management since it ensures the organization's ability to operate and pay its obligations. Consequently, it is important to keep an eye on the company's liquidity status, since it is essential for its survival. If a firm focuses too much on liquidity, it will have a negative impact on its capacity to generate profits. Every company, no matter how large or small, aims to increase profits while preserving liquidity. However, increasing earnings at the expense of liquidity might result in serious problems for the company, which could lead to financial disaster in the long run. Good working capital management would be required to achieve the company's two main objectives simultaneously. Insufficient liquidity may damage a business's goodwill, lower its credit rating, and even lead to the forced sale of the company's assets. On the one hand, excess liquidity refers to the buildup of idle money that does not create revenues for the organization. A healthy balance of liquidity and profitability is thus necessary, which is a subject of discussion since there is no clear definition of what constitutes a good balance?

Literature Survey

Several researchers have carried out studies related to liquidity, profitability, out of which a few of the prominent studies have revealed the following:

In their study, Shin and Soenen, (1998)1 proved that efficient working capital management is very important to create value for the shareholders and profitability and liquidity are the salient goals of working capital management. For every organization, it is very much essential to manage its working capital successfully.

Eljelly (2004)2 found out a negative relationship between profitability and liquidity in his study conducted by taking a sample of joint stock firms in Saudi Arabia. The study found that the cash conversion cycle was of more importance as a measure of liquidity than the current ratio that affects profitability. Moreover, the study also revealed that there was great variation among industries with respect to the significant measure of liquidity.

Raheman and Nasr (2006)3 analyzed the working capital management and its effect on liquidity as well as on profitability of the sample firms. They found that there is a significant negative relationship between liquidity and profitability. They also found that there is a positive relationship between size of the firm and its profitability. There is also a significant negative relationship between debt used by the firm and profitability.

Panigrahi (2013)4 conducted a comparative study of the liquidity positions of five top Indian cement companies in order to determine the companies' liquidity positions for a period of ten years from 2000-2001 to 2009-2010. The author employed methods such as mean, standard deviation, and coefficient of variation, ratio analysis, and Motaal's ultimate rank test. It has been found that small firms have stronger liquidity than big firms, and the growth rates of current ratios, quick ratios, and working capital to current assets are all negative, suggesting a poor liquidity position. The author concludes that, spending less on current assets which is known as aggressive working capital management strategy may produce a higher rate of return but aggressive working capital tactics also increases the risk of default and bankruptcy.

In (2018)5, Panigrahi, Raul and Gijare conducted a study to find out the relationship between liquidity and profitability for a period of five years from 2011-12 to 2015-16 for five selected pharmaceutical companies. It is found that the liquidity position of Biocon is best among all the five companies as per Motaal's test of liquidity. The techniques of Motaal's ultimate rank test have been applied to analyze the data. The researchers attempted to study the association between liquidity and profitability of the sample companies by using Spearman's Rank Coefficient of Correlation. The results found were the same as the theoretical views i.e. both are negatively correlated.

Scope of The Study

The present study conducted by collecting the information of top ten Indian cement companies namely, UltraTech Cement, Shree Cement, Ambuja Cement, ACC, J.K. Cement, Ramco, Birla Corporation, JK Lakshmi, Rain Industries, and India Cement, UltraTech Cement, Shree Cement, Ambuja Cement, ACC, J.K. Cement, Ramco, Birla Corporation, JK Lakshmi, Rain Industries, India Cement and UltraTech for a period of five years from 2016-17 to 2020-21. The required information is collected from company websites and moneycontrol.com.

Research Methodology

Although liquidity and profitability are mutually exclusive words, neither can exist without the other. In any event, having too much of one might be harmful to the other. Profitability and liquidity should be preserved through management. The authors used the distinguishing features to evaluate the profitability and liquidity position of ten cement enterprises. Current assets and total assets are used to determine profitability; the total assets ratio is used to analyze liquidity and profits for capital used.6, 7, 8, 9, 3, 1 The’t’ test is used to assess the concept and attain outcomes, while Spearman's Rank Correlation is employed to find out the relationship between profitability and liquidity. The following formula of correlation coefficient is employed as Spearman's Rank Correlation Coefficient to investigate the connection between Current Assets to Total Assets Ratio (CTTR) and Return on Capital Employed (ROCE) to see whether there is a link between liquidity and profitability, which is depicted in the tables provided below.

Figure 0
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Figure 0
https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/f8787db9-0fc4-4f64-953c-f96b8d3c9ce8image2.png

Table 1

(Spearman's rank correlation coefficient test between CTTR and ROCE Ultra Tech Cement) (Author’s Calculation)

FY Year

Current assets(Rs.)

Total assets (Rs.)

Capital employed (Rs.)

EBIT (Rs.)

CTTR (%)

Rank (R1)

ROCE (%)

RANK (R2)

D

D^2

r

t

2017

13325.67

42218.90

33890.29

4512.14

31.56

1

13.31

2

-1

1

0.80

2.3

2018

11461.31

57150.52

45635.08

4539.20

20.05

3

9.95

4

-1

1

2019

12954.24

76537.43

61004.18

5245.77

16.93

5

8.60

5

0

0

2020

14721.46

79219.79

62639.21

7175.60

18.58

4

11.46

3

1

1

2021

24050.29

86183.51

65591.79

9341.11

27.91

2

14.24

1

1

1

[i] The table value of’t’ at the 5% level of significance for 4= (n-1) degree of freedom is 2.776, whereas the computed value is 2.31, according to Table 1. The null hypothesis, H0, is accepted since the table value is bigger than the calculated value, implying that profitability and liquidity have a negative relationship.

Table 2

(Spearman's rank correlation coefficient test between CTTR and ROCE Shree Cement) (Author’s Calculation)

FY Year

Current assets (Rs.)

Total assets (Rs.)

Capital employed (Rs.)

EBIT (Rs.)

CTTR (%)

Rank (R1)

ROCE (%)

RANK (R2)

D

D^2

r

t

2017

3282.19

11165.98

9176.96

1660.20

29.39

5

18.09

2

3

9

0

0.0

2018

5700.25

15141.67

12174.52

1962.40

37.65

3

16.12

3

0

0

2019

4719.22

15493.05

13366.47

1393.50

30.46

4

10.43

5

-1

1

2020

7893.82

19944.15

15928.59

2225.69

39.58

1

13.97

4

-3

9

2021

8187.33

21513.17

17812.36

3255.37

38.06

2

18.28

1

1

1

[i] Table 2 shows that for 4= (n-1) degree of freedom, the table value of’t’ at the 5% level ofsignificance is 2.776, whereas the computed value is 0. The null hypothesis, H0, is accepted since the table value exceeds the calculated value, implying thatprofitability and liquidity have a negative relationship.

Table 3

(Spearman's rank correlation coefficient test between CTTR and ROCE Ambuja Cement) (Author’s Calculation)

FY Year

Current assets (Rs.)

Total assets (Rs.)

Capital employed (Rs.)

EBIT (Rs.)

CTTR (%)

Rank (R1)

ROCE (%)

RANK (R2)

D

D^2

r

t

2017

8288.16

32823.81

25415.68

2149.52

25.25

5

8.46

5

0

0

1

1

2018

11094.56

35512.92

26635.60

2960.74

31.24

4

11.12

3

1

1

2019

12406.85

37340.73

28946.47

3076.51

33.23

2

10.63

4

-2

4

2020

14319.01

40182.34

31112.03

4025.21

35.64

1

12.94

2

-1

1

2021

12804.83

39720.70

30460.30

4117.37

32.24

3

13.52

1

2

4

[i] Table 3 shows that for 4= (n-1) degree of freedom, the table value of 't' at the 5% level of significance is 2.776, whereas the calculated value is 1. The null hypothesis,H0, is accepted since the table value is bigger than the calculated value, implying that profitability and liquidity have a negative relationship.

Table 4

(Spearman's rank correlation coefficient test between CTTR and ROCE ACC Cement) (Author’s Calculation)

FY Year

Current assets(Rs.)

Total assets (Rs.)

Capital employed (Rs.)

EBIT (Rs.)

CTTR (%)

Rank (R1)

ROCE (%)

RANK (R2)

D

D^2

r

t

2017

4069.64

13386.53

9335.35

874.23

30.40

5

9.36

5

0

0

0

1

2018

5654.92

14845.74

10053.08

1397.67

38.09

4

13.90

3

1

1

2019

6684.44

16055.95

11349.79

1587.56

41.63

3

13.99

2

1

1

2020

7534.57

17135.98

12437.75

2124.77

43.97

2

17.08

1

1

1

2021

8448.63

18200.23

13395.97

1757.00

46.42

1

13.12

4

-3

9

[i] Table 4 shows that for 4= (n-1) degree of freedom, the table value of’t’ at the 5% level ofsignificance is 2.776, whereas the calculated value is 1. The null hypothesis,H0, is accepted since the table value is bigger than the calculatedvalue, implying that profitability and liquidity have a negative relationship.

Table 5

(Spearman's rank correlation coefficient test between CTTR and ROCE of J.K. Cement) (Author’s Calculation)

FY Year

Current assets(Rs.)

Total assets (Rs.)

Capital employed (Rs.)

EBIT (Rs.)

CTTR (%)

Rank (R1)

ROCE (%)

RANK (R2)

D

D^2

r

t

2017

1479.26

6410.87

5130.11

588.28

23.07

5

11.47

5

0

0

1

1.7

2018

1684.45

6456.01

5146.39

667.31

26.09

4

12.97

3

1

1

2019

2045.44

7412.66

5802.89

673.55

27.59

2

11.61

4

-2

4

2020

2234.57

8542.03

6717.34

995.57

26.16

3

14.82

2

1

1

2021

3183.10

9871.98

7914.62

1345.45

32.24

1

17.00

1

0

0

[i] The table value of‘t’ at the 5% level of significance for 4= (n-1) degree of freedom is 2.776, whereas the computed value is 1.7, according to Table 16. The null hypothesis, H0, is accepted since the table value is bigger than the calculated value, implying that profitability and liquidity have a negative relationship.

Table 6

(Spearman's rank correlation coefficient test between CTTR and ROCE of Ramco Cement) (Author’s Calculation)

FY Year

Current assets(Rs.)

Total assets (Rs.)

Capital employed (Rs.)

EBIT (Rs.)

CTTR (%)

Rank (R1)

ROCE (%)

RANK (R2)

D

D^2

r

t

2017

1421.78

7070.51

5045.03

961.79

20.11

1

19.06

1

0

0

1

1.7

2018

1300.42

7158.02

5301.59

851.27

18.17

2

16.06

2

0

0

2019

1380.51

8203.79

6136.24

769.49

16.83

3

12.54

4

-1

1

2020

1575.71

10132.76

7796.44

864.38

15.55

4

11.09

5

-1

1

2021

1458.91

11454.92

9035.55

1231.12

12.74

5

13.63

3

2

4

[i] The table value of’t’ at the 5% level of significance for 4= (n-1) degree of freedom is 2.776, whereas the computed value is 1.7,. The null hypothesis, H0, is accepted since the table value is bigger than the calculated value, implying that profitability and liquidity have a negative relationship.

Table 7

(Spearman's rank correlation coefficient test between CTTR and ROCE of Birla Corporation (Author’s Calculation)

FY Year

Current assets(Rs.)

Total assets (Rs.)

Capital employed (Rs.)

EBIT (Rs.)

CTTR (%)

Rank (R1)

ROCE (%)

RANK (R2)

D

D^2

r

t

2017

2094.84

9697.82

8453.66

507.09

21.60

4

6.00

4

0

0

0

-1

2018

2454.05

11074.94

9486.17

537.48

22.16

1

5.67

5

-4

16

2019

2504.51

11331.61

9546.46

687.96

22.10

3

7.21

3

0

0

2020

2693.94

12175.47

10075.39

1069.19

22.13

2

10.61

1

1

1

2021

2668.08

12895.59

10870.79

1008.87

20.69

5

9.28

2

3

9

[i] The table value of’t’ at the 5% level of significance for 4= (n-1) degree of freedom is 2.776, but the computed value is -1, according to. The null hypothesis, H0, is accepted since the table value is bigger than the calculated value, implying that profitability and liquidity have a negative relationship.

Table 8

(Spearman's rank correlation coefficient test between CTTR and ROCE of JK Lakshmi Cement) (Author’s Calculation)

FY Year

Current assets(Rs.)

Total assets (Rs.)

Capital employed (Rs.)

EBIT (Rs.)

CTTR (%)

Rank (R1)

ROCE (%)

RANK (R2)

D

D^2

r

t

2017

1118.75

5131.75

3802.03

323.86

21.80

3

8.52

4

-1

1

1

1.7

2018

1077.27

5101.08

3603.29

296.23

21.12

4

8.22

5

-1

1

2019

1009.98

5065.63

3512.47

304.34

19.94

5

8.66

3

2

4

2020

1255.71

5162.80

3460.74

593.99

24.32

2

17.16

2

0

0

2021

1481.98

5286.23

3802.57

748.04

28.03

1

19.67

1

0

0

[i] The table value of’t’ at the 5% level of significance for 4= (n-1) degree of freedom is 2.776, whereas the computed value is 1.7, The null hypothesis, H0, is accepted since the table value is bigger than the calculated value, implying that profitability and liquidity have a negative relationship.

Table 9

(Spearman's rank correlation coefficient test between CTTR and ROCE of rain industries) (Author’s Calculation)

FY Year

Current assets(Rs.)

Total assets (Rs.)

Capital employed (Rs.)

EBIT (Rs.)

CTTR (%)

Rank (R1)

ROCE (%)

RANK (R2)

D

D^2

r

t

2017

5246.61

15823.07

13179.43

1451.28

33.16

1

11.01

1

0

0

1

4

2018

4372.70

16227.74

14036.98

1043.13

26.95

4

7.43

5

-1

1

2019

4372.70

16227.74

14036.98

1043.14

26.95

4

7.43

4

0

0

2020

4981.75

18281.16

15709.96

1340.51

27.25

2

8.53

3

-1

1

2021

4981.75

18281.16

15709.96

1340.52

27.25

2

8.53

2

0

0

[i] Table 9 shows that for 4= (n-1) degree of freedom, the table value of’t’ at the 5% level ofsignificance is 2.776, whereas the calculated value is 4. The alternatehypothesis, i.e. H1, is accepted since the table value is largerthan the calculated value, implying that there is no negative link betweenprofitability and liquidity.

Table 10

(Spearman's rank correlation coefficient test between CTTR and ROCE of india cement) (Author’s Calculation)

FY Year

Current assets(Rs.)

Total assets (Rs.)

Capital employed (Rs.)

EBIT (Rs.)

CTTR (%)

Rank (R1)

ROCE (%)

RANK (R2)

D

D^2

r

t

2017

1948.23

10949.71

8513.55

631.52

17.79

4

7.42

1

3

9

-1

-2.3

2018

1968.19

10977.52

9041.97

454.50

17.93

3

5.03

3

0

0

2019

2331.45

11300.26

8791.96

400.18

20.63

1

4.55

4

-3

9

2020

2382.36

11669.62

8791.77

366.80

20.42

2

4.17

5

-3

9

2021

1838.37

11089.95

8510.54

581.67

16.58

5

6.83

2

3

9

[i] The table value of’t’ at the 5% level of significance for 4= (n-1) degree of freedom is 2.776, but the computed value is -2.3,. The null hypothesis, H0, is accepted since the table value is bigger than the calculated value, implying that profitability and liquidity have a negative relationship.

Proposed Hypothesis

Null Hypothesis (H0): There is a negative relationship between the two variables, viz. Profitability and Liquidity.Alternative Hypothesis (H1): There is no negative relationship between the two variables, viz. Liquidity and profitability.The sample coefficient of correlation must be known before the hypothesis can be tested. The following formula may be used to get the appropriate‘t’ test statistic for this case.

Data Analysis & Findings

The following tables show the computed liquidity ratios, the amount invested in liquid assets, working capital, and other associated ratios for the chosen firms:

Summary of Findings and Managerial Implications

In this study, ten publicly traded cement businesses were analyzed from 2016-17 to 2020-21 to determine the relationship between liquidity and profitability for the period. Although the theory of finance predicts a negative association between liquidity and profitability which matches with our findings, it is seen that extraordinarily liquid companies also make money. Not all successful companies need liquidity and all lucrative enterprises are losing money. It's possible for a firm to grow without jeopardizing its ability to get capital.

When it comes to the ultimate trade-off between liquidity and profitability, it's all about finding the right balance. Despite the importance of this question, no one can agree on a solution or standard. The problem is that in today's corporate world, managing the show with negative working capital is seen to be a sign of management efficiency. However, all financial managers must guarantee that management’s efficiency does not lead to financial insolvency.

Conclusion and Recommendations

Working Capital Management (WCM) is a financial function that manages current assets and liabilities. It is the relationship between the existing assets and liabilities of a corporation. The everyday activities of a business must strike a balance between liquidity and profitability. The short-term commitments of company need liquidity and a lucrative endeavour may generate consistent cash flow. It should come as no surprise that cash is an important measure of financial well. Working capital management guarantees that a company can meet both short-term debt obligations and long-term operational requirements. Keeping track of commodities, receivables, payables, and cash is part of managing working capital.

Shree Cement has the best liquidity ratio of the ten firms analyzed. The study's other firms need to boost their liquidity. The companies in the research didn't have a good liquid/current ratio. Working capital was negative in numerous circumstances. To maximize capital returns and profitability, several businesses are increasingly operating with negative working capital. Negative working capital lowers working capital expenses (increases profitability), but it also indicates a cash shortage (stressed circumstance for the lenders and so forth). In a downturn, it may also be burdened with prior duties, which is negative. As a result, there should be a trade-off between profitability and liquidity.

It may be very advantageous if a company's cash flow is translated inside the same cycle. Borrowing may be required to meet ongoing working capital requirements. Profitability and liquidity must be balanced as a result. Current asset investments are unavoidable in order to secure eventual customer delivery of goods or services, and how these assets are managed has an influence on profitability and liquidity. The cash operating cycle will be extended if resources in the supply chain are interrupted. While more sales may increase profitability, the costs of storing additional inventory and/or providing more trade credit to customers may outweigh the advantages.

We recommend cement companies to estimate sales and have enough cash on hand when purchasing by paying cash to negotiate lower pricing. Profitability is boosted by effective working capital and liquidity management. According to this research, Indian cement companies might increase their profitability by better managing their working capital. Inventory management may help a company's profitability tremendously. As a result, this research reveals that when a firm manages its working capital and inventory more efficiently, its profitability increases. To summarize, the measures discussed above would undoubtedly assist the chosen firms in better managing their entire working capital. The chosen enterprises can maximize their potential and progress the country's economic development by properly managing their working capital.

Source of Funding

None.

Conflict of Interest

None.

References

1 

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2 

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A Raheman M Nasr Working capital management and profitability - Case of Pakistani firms, International review of business research papersInt Rev Business Res Papers200731279300

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A Panigrahi Liquidity Management of Indian Cement Companies - A Comparative StudyJ Business Manag2013145496110.9790/487X-1454961

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A Panigrahi N Raul Liquidity and Profitability Trade-Off: A Study of Indian Pharmaceutical CompaniesJ Econ Public Policy2018314256

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A Panigrahi Relationship of Working Capital with Liquidity, Profitability and Solvency: A Case Study of ACC LimitedJ Manag Res20144230822

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A Panigrahi Validity of Altman’s ‘Z’ Score Model in Predicting Financial Distress of Pharmaceutical CompaniesJ Econ Public Policy2019416573

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A Panigrahi Working Capital Management Efficiency of Indian Cement IndustryJ Econ Public Policy201721828



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Article type

Review Article


Article page

61-66


Authors Details

Harsheen Gill


Article History

Received : 24-05-2022

Accepted : 30-05-2022


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