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A Refereed Monthly International Journal of Management Indexed With THOMSON REUTERS(ESCI)
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Prof. B. P. Sharma
(Editor in Chief)

Dr. Khushbu Agarwal
(Editor)

Ms. Asha Galundia
(Circulation Manager)

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Mr. Ramesh Modi

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2020
2019 2018
A Refereed Monthly International Journal of Management

Extended DuPont Ratio Analysis of Indian Information Technology Companies

Author

Dr. T. MANJUNATHA

Professor and Head

Dept. of M B A

Visvesvaraya Technological University B D T College of Engineering

Davangere-577 004,Karnataka, India

E-mail:- tmmanju87@gmail.com

Praveen Gujjar J

Research Scholar

Visvesvaraya Technological University

Belagavi– 590 018 Karnataka, India

E-mail:- gujjarpraveen@gmail.com

Abstract

The economic development of the country depends on the development of adequate infrastructure facilities. The country’s growth and development has inter-linkages with many sectors. All the sectors require facilities from the information technology (IT) companies for the development infrastructure. Analysts can obtain useful information by analyzing company's recent financial statements and comparing the results with other companies in the same sector. Traditional DuPont model is used to provide performance information based on DuPont profitability analysis. We test whether extended DuPont model can be used to measure the performance of Information Technology companies in Indian context. We use twenty five Indian information Technology Companies five year data and we have calculated return on equity (ROE) by using extended DuPont model. Empirical analysis of the study shows that return on equity is better in creating positive shareholders value and also we found that extended DuPont model can be used to measure the performance of Information Technology. This paper suggests that further study can conducted by using extended DuPont model in other industries to see if it can explain the total variation in ROE as it has in the Indian Information Technology companies.

Key words : DuPont Analysis, Extended DuPont model, ROE, profit Margin Ratio, Asset turnover Ratio, equity multiplier

Introduction

Return on equity (ROE) is fairly representative index of performance evaluation, which comprehensively reflects operation level and financial position of enterprises. For more detailed analysis and evaluation of enterprise operational efficiency, DuPont analysis is proposed using the intrinsic link between the major indicators of financial ratios, forming an evaluation system that takes sales margin, asset turnover and equity multiplier as the core index. In practice, the system is widely applied for its strong operability, and achieved the goal to provide corporate financial position and operating results, and other information related to the target decision for investors, creditors and other stakeholders. The Three step Du Pont model became a standard in all financial management textbooks and a powerful tool to illustrate the interconnectedness of a firm’s income statement and its balance sheet, and to develop straight-forward strategies for improving the firm’s ROE. However, Hawawini and Viallet (1999) offered yet another modification to the Du Pont model. This modification resulted in five different ratios that combine to form ROE. In their modification they concede that the financial statements firms put together for their annual reports are not always useful to managers making operating and financial decisions as indicated by Brigham and Houston (2001). Hawawini and Viallet (1999) restructured the traditional balance sheet into a “managerial balance sheet” which is “a more appropriate tool for assessing the contribution of operating decisions to the firm’s financial performance.” A more detailed explanation of the managerial balance sheet is illustrated as the five steps Du-Pont Model. The five steps du Pont model decomposes return on equity in to five ratios overcoming the shortcomings of the three step DuPont model. Nissim et al, (2001), Fairfield et al, (2001), Ross et al, (1996) shows the three-step DuPont Model provides driving force of the company’s profit return on equity. Moyer et al, (2007), Ross et al, (2008) describe how a company boosts its ROE by improving its profitability; using its assets more efficiently and taking on additional leverage. Further, we did not find studies that have used DuPont model for IT companies in Indian context. However, companies that boost ROE by adding leverage will eventually reach a point where the cost of debt will diminish profit margins and decrease asset turnover. This observation is not captured by the three steps DuPont. Hence the five step DuPont model explains profitability as accruing from operating activities, efficiency, debts to assets (leverage), cost of funding (interest burden) and tax effect. This paper proposes to study DuPont model of Indian Information Technology companies Listed in BSE India. The paper is organized in four parts. Part 1 is the introduction; Part 2 presents objectives, and methodology; Part 3 analyses the results; Part 4 presents the summary and conclusions. References are given after Part 4.

2. Objectives and Methodology

2.1

Information technology development is an important pre-requisite for the development of an economy. Information technology projects have a small to medium gestation period and involve large capital. We have set following objectives based on the evidence Nissim and Penman (2001), Fairfield and Yohn (2001), Ross et al., (1996).

. To test whether Extended DuPont model can be used to measure the performance of Information Technology Companies.

. To test whether Indian Information Technology companies are able to generate positive return on equity for its shareholders.

2.2

Hypotheses: Based on the available evidence on Nihar Kiran Nanavathi (2013) and Tiwari and Parray (2012) the following null hypotheses are formulated

. Ho: Performance of Information Technology companies in India is not explained by the Extended DuPont Model.

. Ho: Indian Information Technology Companies are not able to generate positive return on equity for its shareholders.

Negations of above hypothesis are alternate hypothesis. We propose to test the above hypotheses in the Indian context by taking the data and sample described below.

2.3 Data and Sample:

This study was based on the listed 25 Information Technology companies in BSE India. In this study Information Technology companies chosen was Tata Elxsi, Cranes Software, Elnet Technology , Kellton Tech, D-Link India, STG Lifecare, Healthfore Tech, Accel Frontline, Ajel, Pagaria Ener, Infosys, AGC Networks, Zensar Tech, Empower India, Wipro, Sterling Intl, VamaInds, Innovation Soft, Onward Technology, Mphasis, ASM Technologies, Info-Drive Software, Aurum Soft, Sparc Systems, Goldstone Tech. For the study purpose we have taken five years financial statement viz 2011, 2012, 2013, 2014 and 2015 of 25 Information Technology companies. The annual data of the selected companies is obtained from the Capital Line. The collected data are used for calculating ROE.

2.4 Methodology:

This study proposes to ascertain the performance of Information Technology companies in India by using DuPont model. Lermack (2003) analyzed comparative analysis of financial performance of private sector companies. Santany et al. (2003) observed that degree of current asset in positive associated with the operating profitability of the firm. Lasher (2005) found that requires financial data of the companies. This data would be collected using the different corporate databases Powell and Stark (2005) shows that significant improvements in operating performance. Amir et al. (2011) shows there is a significant difference among profitability components. Blessing and Onoja (2015) agree that profitability, assets, liabilities and equities are significant ways of evaluating performance. We propose to analyse extended DuPont model for the information technology companies in India and also to analyse return of equity of the information technology companies in India. We have adopted methodology as done by Moyer et al., (2007), Ross et al., (2008). We calculated ROE using following model.

Five Step DuPont Analysis Model

ROE = (Tax Burden) x (Interest Burden) x (Operating Margin) x (Asset Turnover) x (Equity Multiplier) (1)

Where:

Operating margin shows operating efficiency

Asset turnover shows asset utilization efficiency

Equity multiplier shows financial leverage

Calculation has been done using Microsoft office Excel to calculate Return on equity using DuPont 5 factor models. The collected data has been further processed both manually and also with the help of computer software. Statistical analysis has been made using statistical package for social science (SPSS). We bring out the analysis to test the objectives and hypothesis. We have obtained return on equity by applying Extended DuPont model of the selected companies as shown in Table 1 and Table 6. We have to test whether Indian Information Technology companies are able to generate value for its shareholders and also to test the Extended DuPont model to measure the performance of Information Technology Companies. We bring out the following analysis to test the objectives and hypothesis.

3. Results and Analysis

The study analyze the extended DuPont model to know whether companies of information technology sectors have created positive return on equity for its shareholders . Therefore, we have analyzed five years data of selected companies. Main findings of the study are discussed in the following paragraphs.

Table 1 shows the selected companies tax burden during the study period. Tax burden for Tata Elxsi ranges from 0.65 to 1.02; Cranes Software ranges from 0.3 to 0.96; Elnet Technology ranges from 0.64 to 0.68; Kellton Tech ranges from 0.87 to 1.03; D-Link India ranges from 0.65 to 0.69; STG Lifecare ranges from 0.66 to 1; Accel Frontline ranges from 0.19 to 13.3; Ajel ranges from 0.52 to 1.0. Based on the above analysis it is observed that increase in the profit margin and asset turnover can increase the ROE of the company. Hence we accept alternate hypothesis that Indian information technology Companies performance are better explained by the extended DuPont model.

Table 2 shows the selected companies Interest burden during the study period. Interest burden for Tata Elxsi ranges from 0.53 to 0.86; Cranes Software ranges from -2.46 to 21.73; Elnet Technology ranges from 0.59 to 0.71; Kellton Tech ranges from 0.63 to 1.06; D-Link India ranges from 0.84 to 0.9; STG Lifecare ranges from 0.19 to 2..4; Aurum Soft ranges from -0.11 to 1.27; Sparc Systems ranges from -2 to 1.32; Goldstone Tech ranges from -0.04 to 0.52. Based on the above analysis it is observed that increase in the profit margin and asset turnover can increase the ROE of the company. Hence we accept alternate hypothesis that Indian information technology Companies performance are better explained by the extended DuPont model.

Table 3 shows the selected companies operating income margin during the study period. Operating income margin for Tata Elxsi ranges from 0.1 to 0.21; Cranes Software ranges from -3.4 to 0.86; Elnet Technology ranges from 0.52 to 0.58; Kellton Tech ranges from -5.01 to 0.28; D-Link India ranges from 0.04 to 0.05; Healthfore Tech, ranges from -0.42 to 0.3; Accel Frontline ranges from 0.05 to 0.12; Ajel ranges from 0.02 to 0.1. Based on the above analysis it is observed that increase in the profit margin and asset turnover can increase the ROE of the company. Hence we accept alternate hypothesis that Indian information technology Companies performance are better explained by the extended DuPont model.

Table 4 shows the selected companies asset turn over during the study period. Asset turn over for Tata Elxsi ranges from 1.95 to 3.28; Cranes Software ranges from 0.02 to 0.16; Elnet Technology ranges from 0.35 to 0.41; Kellton Tech ranges from 0.18 to 0.76; D-Link India ranges from 1.8 to 4.9; STG Lifecare ranges from 0.00 to 0.27; Healthfore Tech, ranges from 0.2 to 0.9; Aurum Soft ranges from 0.57 to 0.05; Sparc Systems ranges from 0.08 to 0.02; Goldstone Tech ranges from 0.31 to 0.4. Further we have found that there is no consistent growth in profit. Based on the above analysis it is observed that increase in the profit margin and asset turnover can increase the ROE of the company. Hence we accept alternate hypothesis that Indian information technology Companies performance are better explained by the extended DuPont model.

Table 5 shows the selected companies equity multiplier during the study period. Equity multiplier for Tata Elxsi ranges from 1.02 to 1.33; Cranes Software ranges from -13.12 to 27.88; Elnet Technology ranges from 1.35 to 1.62; Kellton Tech ranges from 1.01 to 1.48; D-Link India ranges from 1.002 to 1.003; STG Lifecare ranges from 2.14 to 3.2; Aurum Soft ranges from 1.0 to 1.02; Sparc Systems ranges from 1.0 to 1.1; Goldstone Tech ranges from 1.1 to 1.3. Based on the above analysis it is observed that increase in the profit margin and asset turnover can increase the ROE of the company. Hence we accept alternate hypothesis that Indian information technology Companies performance are better explained by the extended DuPont model.

Table 6 shows the selected companies return on equity during the study period. Return on equity for Tata Elxsi ranges from 0.11 to 0.36; Cranes Software ranges from -7.67 to 1.49; Elnet Technology ranges from 0.12 to 0.14; Kellton Tech ranges from -0.97 to 0.13; D-Link India ranges from 0.09 to 0.15; STG Lifecare ranges from -0.19 to 0.02; Healthfore Tech, ranges from 0.15 to 0.61; Accel Frontline ranges from -0.06 to 0.10; Ajel ranges from -0.01 to 0.09; Pagaria Ener ranges from 0.001 to 0.004; Infosys ranges from 0.24 to 0.28; AGC Networks ranges from -1.55 to 0.06; Zensar Tech ranges from 0.23 to 0.29; Empower India ranges from -0.15 to 0.001; Wipro ranges from 0.19 to 0.25; Sterling Intl ranges from 0.00 to 0.0002; VamaInds ranges from 0.02 to 0.05; Innovation Soft ranges from -0.68 to 0.08; Onward Technology ranges from -0.04 to 0.31; Mphasis ranges from 0.06 to 0.34; ASM Technologies ranges from 0.17to 0.32; Info-Drive Software ranges from 0.00 to 0.02; Aurum Soft ranges from -0.19 to 0.03; Sparc Systems ranges from -0.19 to 0.0001; Goldstone Tech ranges from -0.07 to 0.03. Further we have found that there is no consistent growth in profit. We reject null hypothesis and accept alternate hypothesis that Indian Information Technology Companies are able to generate positive return on equity for its shareholders.

4. Summary and Conclusion

This paper has attempted to test Indian Information Technology companies able to generate positive return on equity for its shareholders by using the extended DuPont model and further to test extended DuPont model can be used to measure the performance of Information Technology Companies. The overall conclusions of this study are summarized as follows:

Ø The analysis of return on equity from the table 1 – 6 shows that increase in the operating income margin and asset turn over it reflects positively on the return on equity. We reject null hypothesis and accept alternate hypothesis that Performance of Indian Information Technology Companies explained by the extended DuPont model.

Ø The analysis of return on equity from the table 6 shows positive for all the selected companies during the study period. We reject null hypothesis and accept alternate hypothesis that Indian Information Technology Companies are able to generate positive return on equity for its shareholders.

The results of the study can be used by Indian Information Technology companies by knowing the factors affecting return on equity with DuPont model to become more successful in the competitive world. The results of the study can be used by investment advisors, policy makers and regulators of the IT companies to create conducive investment environment by understanding factors affecting return on equity. The results of the study can be used by Indian IT companies by knowing the factors affecting return on equity with DuPont model to become more successful in the competitive world. For future research direction, researchers can employ the five step DuPont model in other industries to see if it can explain the total variation in ROE as it has in the Indian information technology companies and also results of the study can be compared with other foreign IT companies and also with startup IT companies to understand how Indian information technology companies are operating and how well it can generate revenue.

5. References

1. Amir E, Kama I, Livnat J (2011) Conditional versus unconditional persistence of RNOA components: implications for valuation, Rev Acc Stud, Vol 1, issue 1, pp 302–327.

2. Blessing, A. and Onoja, E.E. (2015). The role of financial statements on investments decision making: A case of United Bank of Africa PLC (2004-2013), European Journal of Business, Economics and Accountancy, Vol 3 and issue 2, pp 142-148.

3. Brigham, E. F. and Houston, J. F. (2001). Fundamentals of Financial Management, Concise Third Edition, Harcourt Publishers, Vol 3, issue 2, pp.35-40.

4. Fairfield, P. and Yohn. T. (2001). Using asset turnover and profit margin to forecast changes in profitability. Review of Accounting Studies, Vol 4, issue 5 pp.371–385.

5. Hawawini, G. and Viallet, T. (1999). Finance for Executives, South-Western College Publishing, Vol 1, issue 1, pp 133-140.

6. Hanson, G. D., Parsons, R. L., Musser, W., & Power, L. (1998). Impact analysis of farm finance workshops. Journal of Extension, Vol 3, issue 2, pp 35-40.

7. Lasher W R (2005), Practical Financial Management, 4th Edition, p. 784, South-Western College Pub., USA.

8. Lermack H (2003), Steps to a Basic Company Financial Analysis, Philadelphia University, Philadelphia, USA.

9. Moyer, C., McGuigan, J. and Rao, R. (2007). Fundamentals of Contemporary Financial Management. Thomson South-Western, USA, 2007.

10. Nissim, D., & Penman, S. (2001). Ratio analysis and valuation: From research to practice. Review of accounting studies, Vol 2, issue 1, pp. 109-154.

11. Nihar Kiran Nanavathi. (2013) Dupont Analysis to Measure Return on Equity of Satyam Computer Services Limited (Now Known As Mahindra Satyam Limited), Indian Journal of Research, Vol 1, issue 1, pp 38-40

12. Ross, S., Westerfield, R., Jaffe, J. and Jordan, B. (2008). Modern Financial Management, eighth edition. McGraw Hill, New York, pp. 53-58.

13. Santany Kumar Ghosh and Shanthi Gopal Maji (2003), “Utilization of Curren Asset and Operating Profitability and An Empirical Study on Cement and Tea Industries in India”, Indian journal of accounting, Vol 34, issue 2, pp 52-60.

14. Tiwari A and Parray F S (2012), “Analysis of Short-Term Financial Position – A Case Study of Ranbaxy Ltd.”, ArthPrabhand: A Journal of Economics and Management, Vol 1, issue 1, pp. 36-50.

Tables:

Tax Burden

2011

2012

2013

2014

2015

Tata Elxsi

1.02

0.67

0.66

0.65

0.66

Cranes Software

0.96

0.3

0.96

0.52

0.45

Elnet Technology

0.64

0.66

0.67

0.68

0.66

Kellton Tech

1.01

1.03

0.88

1.01

0.87

D-Link India

0.68675

0.69772

0.67673

0.66667

0.65813

STG Lifecare

0.6667

1

1

1

1

Healthfore Tech

1

1

1

1

1

Accel Frontline

0.55965

0.48577

0.20101

0.19337

13.3036

Ajel

0.8938

0.5238

0.6047

0.76

1

Pagaria Ener

0.6

0.5

1

0.5

1

Infosys

0.73

0.73

0.74

0.73

0.72

AGC Networks

0.68

0.56

1.51

1

-0.16

Zensar Tech

1.03

0.69

0.71

0.73

0.72

Empower India

0.58

-1.4

1.02

1

-0.79

Wipro

0.85

0.79

0.78

0.77

0.78

Sterling Intl

0.7

0.76

0.75

0.67

0.77

VamaInds

0.96

0.85

0.7

0.89

0.51

Innovation Soft

1

2

1

1

1

Onward Technology

1

1.28

0.71

0.7

0.58

Mphasis

0.91

0.86

0.81

0.75

0.73

ASM Technologies

0.78

0.73

0.72

0.71

0.64

Info-Drive Software

1

0.7

1.41

0.56

1.18

Aurum Soft

1.61

0.7

0.36

1.01

0.82

Sparc Systems

0.5

0.67

1.17

0.96

0.96

Goldstone Tech

1.04

1.1

0.7

0.68

19

Table 1: Tax Burden for Selected Information Technology Companies

Table 2: Interest Burden for Selected Information Technology Companies

Interest Burden

2011

2012

2013

2014

2015

Tata Elxsi

0.61

0.68

0.53

0.75

0.86

Cranes Software

21.73

-2.46

2.01

2.88

-0.7

Elnet Technology

0.59

0.68

0.71

0.71

0.63

Kellton Tech

1.06

0.82

0.74

0.63

0.75

D-Link India

0.84264

0.85148

0.90828

0.89069

0.93752

STG Lifecare

0.1931

1.7328

2.451

1.2353

1.8806

Healthfore Tech

1.7386

8.4021

11.1113

10.9283

-6.2278

Accel Frontline

0.64443

0.5293

0.41619

0.33607

-0.027

Ajel

0.8626

0.5526

0.8377

0.6579

-1.1667

Pagaria Ener

0.3333

0.6667

0.25

0.5

0.1111

Infosys

0.92

0.94

0.93

0.93

0.95

AGC Networks

0.81

0.6

-0.55

1.36

0.07

Zensar Tech

0.76

0.84

0.86

0.89

0.88

Empower India

0.64

0.03

1.17

1.01

-0.27

Wipro

0.89

0.81

0.87

0.9

0.9

Sterling Intl

0.36

0.08

0.28

0.19

0.33

VamaInds

0.17

0.21

0.31

0.18

0.5

Innovation Soft

1

1

1.01

1.17

1.14

Onward Technology

0.43

0.56

0.5

0.61

0.31

Mphasis

0.9

0.89

0.86

0.89

0.94

ASM Technologies

0.8

0.8

0.8

0.8

0.7

Info-Drive Software

0.59

0.31

0.26

0.34

0.75

Aurum Soft

0.86

0.23

0.09

1.27

-0.11

Sparc Systems

-2

-1

1.17

1.32

1.01

Goldstone Tech

0.22

0.3

0.52

0.23

-0.04

Table 3: Operating Income Margin for Selected Information Technology Companies

Operating Income Margin

2011

2012

2013

2014

2015

Tata Elxsi

0.12

0.14

0.1

0.19

0.21

Cranes Software

-0.21

0.2

-3.4

-0.69

0.86

Elnet Technology

0.58

0.54

0.52

0.54

0.57

Kellton Tech

-5.01

0.21

0.28

0.18

0.24

D-Link India

0.04384

0.04966

0.05627

0.04505

0.05386

STG Lifecare

0.2936

-1.2083

-0.3446

9.2727

-67

Healthfore Tech

-0.4268

-0.1114

-0.1985

-0.2001

0.3129

Accel Frontline

0.05239

0.08394

0.10041

0.12603

0.06058

Ajel

0.3126

0.0579

0.1674

0.0812

0.0249

Pagaria Ener

0.0157

0.0162

0.0263

0.0247

0.052

Infosys

0.36

0.37

0.34

0.32

0.35

AGC Networks

0.08

0.07

0.04

-0.33

0.09

Zensar Tech

0.19

0.22

0.23

0.3

0.26

Empower India

0.01

0.01

-0.04

-0.56

0.01

Wipro

0.24

0.22

0.24

0.27

0.27

Sterling Intl

0.52

0.89

0.74

0.66

0.47

VamaInds

0.13

0.08

0.05

0.04

0.04

Innovation Soft

0.14

-0.33

-25.33

-12

-7

Onward Technology

0.18

0.19

0.15

0.17

0.11

Mphasis

0.31

0.29

0.25

0.24

0.24

ASM Technologies

0.17

0.17

0.17

0.16

0.16

Info-Drive Software

0.16

0.11

0.09

0.1

0.15

Aurum Soft

0.38

0.08

0.07

-0.31

0.09

Sparc Systems

0.13

0.18

-1

-1

-9.86

Goldstone Tech

0.19

0.2

0.2

0.24

0.16

Table 4: Asset Turnover for Selected Information Technology Companies

Asset Turnover

2011

2012

2013

2014

2015

Tata Elxsi

1.95

2.26

2.4

3.28

2.9

Cranes Software

0.02

0.16

0.04

0.11

0.1

Elnet Technology

0.35

0.37

0.41

0.38

0.36

Kellton Tech

0.18

0.57

0.43

0.76

0.59

D-Link India

1.86652

3.06696

4.02677

4.90294

4.67465

STG Lifecare

0.2762

0.0395

0.0635

-0.0051

0.0005

Healthfore Tech

0.9743

0.3766

0.4883

0.4014

0.2364

Accel Frontline

2.44207

2.23296

1.62286

1.07589

1.16416

Ajel

0.3521

0.5141

0.6657

0.6729

0.3313

Pagaria Ener

1.2441

0.2457

0.2452

0.247

0.2657

Infosys

1.08

1.13

1.08

1.11

1.06

AGC Networks

1.09

1.83

1.35

1.3

1.42

Zensar Tech

1.58

1.72

1.67

1.46

1.4

Empower India

0.43

0.39

0.33

0.26

0.32

Wipro

1.02

1.1

1.13

1.18

1.07

Sterling Intl

0

0.01

0.01

0

0

VamaInds

1.17

1.57

2.05

2.21

3.12

Innovation Soft

0.55

0.02

0.03

0.01

0.01

Onward Technology

1.37

1.37

1.44

1.28

1.53

Mphasis

1.33

0.97

0.91

0.92

0.36

ASM Technologies

2.45

1.95

1.91

1.68

1.48

Info-Drive Software

0.22

0.29

0.25

0.15

0.12

Aurum Soft

0.05

0.57

0.53

0.47

0.4

Sparc Systems

0.03

0.03

0.08

0.04

0.02

Goldstone Tech

0.31

0.4

0.43

0.37

0.43

Table 5: Equity Multiplier for Selected Information Technology Companies

Equity Multiplier

2011

2012

2013

2014

2015

Tata Elxsi

1.18

1.22

1.33

1.02

1.04

Cranes Software

3.97

3.87

27.88

-13.12

-8.38

Elnet Technology

1.62

1.44

1.41

1.38

1.35

Kellton Tech

1.01

1.24

1.48

1.23

1.18

D-Link India

1.00292

1.00206

1.00363

1.03852

1.02105

STG Lifecare

2.14

2.3356

2.5492

2.737

3.2043

Healthfore Tech

-0.8566

-1.1106

-0.2481

-0.2336

-0.3409

Accel Frontline

1.31997

2.10274

2.15158

2.26675

2.57629

Ajel

1.1398

1.1568

1.2621

1.2277

1.1834

Pagaria Ener

1.2537

1.2304

1.0131

1.0719

1.0672

Infosys

1

1

1

1.01

1

AGC Networks

1.03

1.38

2.02

2.68

2.33

Zensar Tech

1.02

1.03

1.03

1.02

1.02

Empower India

1

1

1

1

1

Wipro

1.25

1.23

1.26

1.17

1.18

Sterling Intl

1

1.03

1.01

1

1

VamaInds

1.06

1.15

1.27

1.29

1.47

Innovation Soft

1

1

1

1

1

Onward Technology

1.78

1.64

1.46

1.47

1.35

Mphasis

1

1.08

1.08

1.01

1

ASM Technologies

1.27

1.44

1.44

1.52

1.56

Info-Drive Software

1.05

1.1

1.08

1.08

1.43

Aurum Soft

1

1.01

1.02

1.02

1.02

Sparc Systems

1.08

1.11

1.02

1.03

1

Goldstone Tech

1.3

1.1

1.12

1.23

1.24

Table 6: Return on equity for Selected Information Technology Companies

ROE

2011

2012

2013

2014

2015

Tata Elxsi

0.18

0.18

0.11

0.32

0.36

Cranes Software

-0.40

-0.09

-7.67

1.49

0.23

Elnet Technology

0.12

0.13

0.14

0.14

0.12

Kellton Tech

-0.97

0.13

0.12

0.11

0.11

D-Link India

0.047493

0.09066

0.139764

0.13620

0.158623

STG Lifecare

0.0223

-0.1933

-0.1368

-0.1601

-0.1826

Healthfore Tech

0.6193

0.3916

0.2672

0.2051

0.1571

Accel Frontline

0.060901

0.101338

0.029332

0.019974

-0.06533

Ajel

0.0967

0.0100

0.0712

0.0335

-0.0114

Pagaria Ener

0.004

0.001

0.001

0.001

0.001

Infosys

0.26

0.28

0.25

0.24

0.25

AGC Networks

0.05

0.06

-0.1

-1.55

0

Zensar Tech

0.24

0.23

0.24

0.29

0.24

Empower India

0.0001

0

-0.02

-0.15

0

Wipro

0.23

0.19

0.23

0.25

0.24

Sterling Intl

0.0

0.0

0.0001

0.0001

0.0002

VamaInds

0.03

0.03

0.03

0.02

0.05

Innovation Soft

0.08

-0.01

-0.68

-0.14

-0.09

Onward Technology

0.19

0.31

0.11

0.14

0.04

Mphasis

0.34

0.23

0.17

0.15

0.06

ASM Technologies

0.32

0.28

0.27

0.24

0.17

Info-Drive Software

0.02

0.01

0.01

0

0.02

Aurum Soft

0.03

0.01

0

-0.19

0

Sparc Systems

0

0.001

-0.11

-0.06

-0.19

Goldstone Tech

0.02

0.03

0.03

0.02

-0.07