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Indian IT Companies Split as AI Hype Meets Execution Edge

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AuthorIshaan Verma|Published at:
Indian IT Companies Split as AI Hype Meets Execution Edge
Overview

Dolat Capital notes Indian IT services valuations are correcting. While AI spending is rising, the market now favors companies with strong execution. This split is creating different valuation paths, helping leaders with AI and deal pipelines, but challenging others. Despite overall industry growth, mid-tier firms show wide performance differences, with some succeeding through niche focus and consistent wins.

Market Shifts and Investor Strategy

The market's growing emphasis on execution and AI integration signals a strategic shift for investors. Dolat Capital's observed valuation corrections are not uniform; a gap is widening between companies effectively using AI and those relying on traditional execution strengths. The firm notes that while overall sector growth matches IT spending, individual company performance varies widely, emphasizing the need to identify specific drivers of success.

IT Valuations Correct Amidst Divergence

Dolat Capital's analysis shows Indian IT services valuations have corrected. Tier-1 IT firms are now valued at 15-20 times their FY28 earnings estimates, with tier-2 companies, including ER&D and Knowledge Process Outsourcing (KPO) firms, trading between 15-30 times. This suggests the market has priced in moderate growth and gradual AI-driven spending, limiting immediate downside. However, current data presents a more complex situation: major IT players like TCS, Infosys, and HCLTech trade at P/E ratios of 24-26x, similar to some mid-tier firms. LTIMindtree trades at a P/E of 28-32x, while Coforge is higher at 33-35x trailing twelve months (TTM). This suggests polarization is already happening, with leaders commanding premiums, though Dolat's Tier-1 estimates may differ from current market prices.

Execution Strength vs. AI Promise: The Core Divide

The main driver of differentiation is 'execution-led growth.' Dolat Capital highlights mid-tier firms such as LTIMindtree, Coforge, Persistent Systems, KPIT, and eClerx, which have significantly outpaced benchmarks with average annual growth rates between 17-25%. Persistent Systems, for example, reported 21.56% revenue growth and 28.05% earnings growth in FY25. KPIT Technologies' revenue rose 21.9% in FY25. In contrast, LTIMindtree's revenue grew 7.7% in FY25 with a 1.5% operating profit increase, and eClerx Services saw a 16.9% revenue decline in FY25. Meanwhile, artificial intelligence is emerging as a major revenue source, projected to add $10-12 billion to the sector in FY26. Nasscom forecasts the Indian IT sector will surpass $300 billion in revenue for FY26, with 6.1% growth. However, some observers warn of a 2-4% revenue deflation risk over the next two years as AI adoption accelerates, potentially reducing traditional billable hours.

Performance Benchmarks and Sector Trends

Benchmarking these mid-tier players shows varied valuations and growth. Persistent Systems' FY25 earnings imply a P/E of around 8.5x, but other estimates place its current TTM P/E closer to 25-30x. KPIT Technologies also has a TTM P/E around 25x. eClerx, despite a revenue dip, maintains a P/E of 27-29x. Coforge, with forecasts of 17.5% revenue and 27.7% average annual earnings growth, commands a higher P/E of 33-35x. This dispersion means that while Dolat Capital's valuation ranges are broad, individual companies trade at distinct multiples. Aggregate industry growth has been steady, tracking global IT spend at about 9.9% to 10% from FY21-FY26. However, AI-led revenue compression could impact overall sector growth from the projected 6.1%. Analyst sentiment is mixed but leans positive for many mid-tier firms; for instance, Persistent Systems has a 'Buy' consensus from analysts at Nomura and CLSA. KPIT Technologies has 'Buy' ratings from JM Financial and others, while eClerx also holds a 'Buy' consensus. Coforge is a top pick for some analysts, with expectations of strong revenue and earnings growth. LTIMindtree, however, has a more neutral 'Hold' consensus.

Potential Risks and Challenges

Despite optimism for AI and strong execution, several risks remain. The projected 2-4% revenue deflation from AI adoption directly threatens revenue growth narratives, especially for companies heavily reliant on billable hours for services like application maintenance and testing. While AI services offer new revenue, it's unclear if they'll fully offset declines in traditional work. Companies like eClerx, which saw revenue and operating profit decline in FY25, may struggle more if they can't pivot their offerings. Furthermore, high P/E multiples for some mid-tier players, like Coforge (33-35x), present a valuation risk. If AI adoption leads to slower growth or margin pressures, these high multiples could drop sharply. The industry's reliance on large deals, emphasized by M&A activity to offset AI's revenue impact, also signals a potential challenge. If large deals become scarcer or smaller due to AI automation, many Indian IT firms' growth could be jeopardized. Competitors like TCS and Infosys, with wider service portfolios and larger client bases, may be better positioned to absorb these shocks than niche players.

Future Outlook for Indian IT

Looking ahead, the IT services sector expects continued growth, but with a more discerning investor base. Analysts project strong revenue and earnings growth for companies with clear AI strategies and solid execution. For instance, Coforge is forecasted to grow earnings by 27.7% and revenue by 17.5% annually, with a forward P/E of 20.24x. Persistent Systems is expected to achieve 20.1% earnings growth and 16.3% revenue growth annually. KPIT Technologies is expected to see strong demand in mobility and autonomous sectors, with projected average annual revenue growth of 19% and profit after tax (PAT) growth of 20% from FY25 to FY27. LTIMindtree, despite a 'Hold' consensus, has price targets suggesting upside, with analysts expecting revenue growth to accelerate in the second half. Success will depend on navigating AI disruption while proving demonstrable, execution-driven value.

Disclaimer:This content is for informational purposes only and does not constitute financial or investment advice. Readers should consult a SEBI-registered advisor before making decisions. Investments are subject to market risks, and past performance does not guarantee future results. The publisher and authors are not liable for any losses. Accuracy and completeness are not guaranteed, and views expressed may not reflect the publication’s editorial stance.