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1722314 Vol 10 · Issue 2 Download Paper

Financial Modelling and Forecasting of Selected Information Technology Companies Listed in India

S Chandrika Syed Salauddin

Subject area: Management and Commerce  ·  Area of research: Financial Modelling and Forecasting

DOI: https://doi.org/10.64388/IREV10I2-1722314

Abstract

Financial modelling and forecasting translate a company's historical accounting record into a forward-looking view of its earning power and value, which matters greatly for a sector such as Indian information technology (IT) whose revenues are shaped by currency movements, global demand cycles and rapid technological change. This study examines the financial performance, five-year forecasts and intrinsic value of ten NSE/BSE-listed Indian IT companies spanning large-, mid- and small-cap segments, using audited financial statements for FY2020-21 to FY2024-25. Profitability, leverage and efficiency were assessed through ratio, trend, horizontal and vertical analysis; a five-year forecast (FY2025-26 to FY2029-30) and Discounted Cash Flow (DCF) valuation were then built for each company, with three hypotheses tested using one-way ANOVA and a paired t-test. Results show statistically significant differences in profitability (Return on Equity, Net Profit Margin) and leverage (Debt-Equity ratio) across the sample, and a forecasted revenue growth rate significantly lower than historical growth, reflecting a deliberate moderation of unsustainable recent trends rather than naive extrapolation. DCF valuation suggests that nine of the ten companies are trading above their conservatively modelled intrinsic value, with TCS the sole exception. The findings support a company-specific, rather than sector-wide, approach to valuation and investment judgement in Indian IT equities.

Keywords

Financial Modelling, Forecasting, Discounted Cash Flow, Ratio Analysis, ANOVA, Indian IT Sector

References

[1] Manchala, Podile & Durga (2025). Financial Performance of Selected IT Companies in India: A Comparative Analysis. International Journal of Accounting and Economics Studies, 12(1).

[2] Sreegeetha (2023). A Study on Liquidity and Profitability Analysis of Selected IT Companies. EPRA International Journal of Research and Development, 8(4).

[3] Divyaa & Panneerselvam (2023). Financial Performance Analysis of TCS Company with Reference to IT Sector in India. Journal of Survey in Fisheries Sciences.

[4] Gadhavi & Mehta (2021). A Comparative Study of Financial Performance: With Special Reference to Tata Consultancy Services Ltd and Infosys Ltd.

[5] Mehta & Rathore (2021). Financial Performance Analysis of Selected Indian IT Companies: A Comparative Study. International Journal of Multidisciplinary Educational Research, 9.

[6] Kaur (2019). A Comparative Study on Profitability Analysis of Selected Indian Information Technology Industries. International Journal of Business Management & Research, 9(1).

[7] Bansal (2015). A Comparative Analysis of the Financial Performances of Selected Indian IT Companies. The IUP Journal of Accounting Research & Audit Practices, 14(4).

[8] Bhargava (2017). Financial Analysis of Information and Technology Industry of India: A Case Study of Wipro Ltd and Infosys Ltd. Journal of Accounting, Finance and Auditing Studies, 3(3).

[9] Janarthanan (2023). A Study on Financial Performance Progression of TCS, Infosys and Wipro (2017-2022).

[10] Lopez-Rodriguez, Velasquez-Lizcano, Fajardo-Sierra & Sierra-Otalora (2024). An Approach to Financial Valuation Methodologies: Bibliometric Analysis and Systematic Review of the Literature. Revista Activos, 10(1).

[11] Trinh & Thao (2017). Corporate Valuation Modeling for Strategic Financial Decisions. Asian Economic and Financial Review, 7(12).

[12] Lukic (2017). The Art of Company Financial Modelling.

[13] Sehgal, Mishra, Deisting & Vashisht (2021). On the Determinants and Prediction of Corporate Financial Distress in India. Managerial Finance, 47(10).

[14] National Association of Software and Service Companies (NASSCOM). NASSCOM Strategic Review 2025. https://www.nasscom.in

[15] National Stock Exchange of India (NSE). https://www.nseindia.com

[16] BSE India. https://www.bseindia.com

[17] Screener.in. Financial database. https://www.screener.in

How to cite this paper

S Chandrika, Syed Salauddin "Financial Modelling and Forecasting of Selected Information Technology Companies Listed in India" Iconic Research And Engineering Journals Volume 10 Issue 2 2026 Page 1406-1410 https://doi.org/10.64388/IREV10I2-1722314
S Chandrika, Syed Salauddin "Financial Modelling and Forecasting of Selected Information Technology Companies Listed in India" Iconic Research And Engineering Journals, vol. 10, no. 2, Aug. 2026, doi: https://doi.org/10.64388/IREV10I2-1722314
S Chandrika, Syed Salauddin (2026). Financial Modelling and Forecasting of Selected Information Technology Companies Listed in India. Iconic Research And Engineering Journals, 10(2). doi: https://doi.org/10.64388/IREV10I2-1722314
S Chandrika, Syed Salauddin "Financial Modelling and Forecasting of Selected Information Technology Companies Listed in India" Iconic Research And Engineering Journals, vol. 10, no. 2, Aug. 2026. Crossref, https://doi.org/10.64388/IREV10I2-1722314
@article{1722314,
      author = {S Chandrika, Syed Salauddin},
      title = {Financial Modelling and Forecasting of Selected Information Technology Companies Listed in India},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {2},
      pages = {1406-1410},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1722314.pdf},
      abstract = {Financial modelling and forecasting translate a company's historical accounting record into a forward-looking view of its earning power and value, which matters greatly for a sector such as Indian information technology (IT) whose revenues are shaped by currency movements, global demand cycles and rapid technological change. This study examines the financial performance, five-year forecasts and intrinsic value of ten NSE/BSE-listed Indian IT companies spanning large-, mid- and small-cap segments, using audited financial statements for FY2020-21 to FY2024-25. Profitability, leverage and efficiency were assessed through ratio, trend, horizontal and vertical analysis; a five-year forecast (FY2025-26 to FY2029-30) and Discounted Cash Flow (DCF) valuation were then built for each company, with three hypotheses tested using one-way ANOVA and a paired t-test. Results show statistically significant differences in profitability (Return on Equity, Net Profit Margin) and leverage (Debt-Equity ratio) across the sample, and a forecasted revenue growth rate significantly lower than historical growth, reflecting a deliberate moderation of unsustainable recent trends rather than naive extrapolation. DCF valuation suggests that nine of the ten companies are trading above their conservatively modelled intrinsic value, with TCS the sole exception. The findings support a company-specific, rather than sector-wide, approach to valuation and investment judgement in Indian IT equities.},
      keywords = {Financial Modelling, Forecasting, Discounted Cash Flow, Ratio Analysis, ANOVA, Indian IT Sector},
      month = {August},
      doi = {https://doi.org/10.64388/IREV10I2-1722314}
  }