Aditya Siddharth Mehta · SEBI Registered Research Analyst · INH000029768
Independent equity research on Indian listed companies
Memo / Viewpoint · 13 Oct 2026

HCLTech Q2 FY27: testing the AI story against cash earnings

Advanced AI revenue grew 78%, while company-wide constant-currency revenue rose 2.6%. HCLTech’s next test is turning new demand into durable cash earnings.

HCLTech’s October 12 results show a business finding new demand in artificial intelligence while its much larger revenue base grows modestly. Advanced AI revenue rose 78% year on year in constant currency to $219 million. Company-wide revenue grew 2.6% on the same currency-adjusted basis.

The investment question is how much of the new activity becomes durable cash earnings for shareholders. This quarter offers encouraging evidence on margins and bookings, alongside reasons to keep testing productivity and cash conversion. A premium valuation would require sustained improvement beyond the fastest-growing revenue category.

This memo covers the quarter ended September 30, 2026, or Q2 FY27. Figures come from HCLTech’s October 12 investor release.

Start with the economic engine

HCLTech operates three related businesses. IT and Business Services accounted for 75.4% of quarterly revenue; Engineering and R&D Services contributed 16.7%; HCLSoftware supplied 7.9%. Their year-on-year constant-currency growth rates were 4.4%, 2.1% and minus 11.2%, respectively. The portfolio therefore contains several different demand and pricing cycles.

Enterprise clients pay HCLTech to build, modernise and operate technology. Its economic advantages can include accumulated knowledge of a customer’s systems, delivery capabilities and the inconvenience of replacing an embedded supplier. Those advantages must continually earn their keep through service quality and competitive pricing.

AI can strengthen that relationship by making HCLTech useful for new projects. It can also reduce the labour required for existing work. Whether shareholders benefit depends on contract terms, customer bargaining power and the new work created by lower delivery costs.

A fast-growing category still needs a company-wide test

Advanced AI’s $219 million represented approximately 5.9% of the quarter’s $3,724 million revenue, calculated by dividing the two reported dollar figures. That is a scale comparison, not a standalone segment valuation. The release does not provide a separate Advanced AI profit or cash-flow statement.

Two hypotheses remain plausible. AI may accelerate demand as customers commission infrastructure, integration and new applications. Alternatively, some new AI spending may replace existing services spending while automation reduces billable effort. Both effects could occur at the same client.

Revenue per employee offers one check. HCLTech reported $65,400 annually, up 2.4% year on year and down 0.1% sequentially. This is a trailing measure: the company divides the last twelve months’ revenue by average quarter-end headcount across five quarters. It cannot immediately capture a productivity breakthrough in the latest quarter. Currency, acquisitions, staffing changes, utilisation and business mix can also affect it. Nor does it include subcontractor headcount in the denominator.

The appropriate conclusion is that a broad productivity acceleration remains to be demonstrated. Investors should also require stable AI-category definitions and comparable historical data. Expanding what is counted as AI could alter a growth comparison without an equivalent change in the underlying business; this memo does not assert that such a change occurred this quarter.

Margins improved, but adjustment discipline matters

Reported EBIT margin reached 18.2%, despite an 84-basis-point restructuring impact. Adding that impact back mechanically gives approximately 19.0%, based on the rounded headline margin. This calculation is useful for understanding the charge’s size, but it is not automatically sustainable earnings power.

The release identifies restructuring impacts in each of the preceding four quarters too. Investors should ask what work remains, what savings have been realised and when related cash payments occur. Repeated recent charges deserve scrutiny; they do not prove that these costs continue permanently.

There is also a favourable tax contribution to the earnings result. Rupee EBIT increased from ₹5,550 crore a year earlier to ₹6,465 crore, approximately 16.5%. Net income rose faster, by 21.2% to ₹5,132 crore, while the tax provision fell from ₹1,466 crore to ₹1,335 crore. Forecasting net-income growth straight from this quarter would therefore be aggressive without understanding the sustainable tax rate.

Management’s FY27 guidance is 2.5%–4.0% constant-currency company revenue growth and a 17.5%–18.5% EBIT margin. That is the relevant near-term anchor when assessing how quickly AI changes the consolidated economics.

Cash conversion and acquisition spending

Quarterly operating cash flow was ₹4,758 crore. After ₹630 crore of purchases of property, equipment and intangibles, company-defined free cash flow was ₹4,128 crore: approximately 80.4% of quarterly net income.

HCLTech Q2 FY27 cash bridge: operating cash flow ₹4,758 crore, capital spending ₹630 crore, free cash flow ₹4,128 crore, acquisition payments ₹3,742 crore, and a calculated ₹386 crore remainder before dividends and other financing.
Source: HCLTech Q2 FY27 investor release, PDF page 31 (printed slide 30). Calculated remainder equals free cash flow less acquisition payments; it is not reported closing cash or a standard free-cash-flow measure. Acquisition spending is shown separately because it is excluded from the company’s free-cash-flow subtotal.

The trailing-twelve-month free-cash-flow/net-income ratio was 87% on the release’s highlighted basis. Its footnote gives 90% when the one-time New Labour Codes impact is included in net income. The change is a denominator effect, not extra cash generated. Investors should preserve this distinction when comparing periods.

Acquisitions matter too. Payments of ₹3,742 crore sit outside the quarter’s free-cash-flow subtotal. Subtracting them leaves ₹386 crore before dividends and other financing. These purchases may build valuable capabilities; charging every acquisition against recurring earnings would be crude. Ignoring the capital deployed would be equally unhelpful. Subsequent revenue, cash returns and integration costs must justify it.

Company-defined net cash was ₹24,503 crore at September 30. That calculation deducts borrowings from gross cash but does not deduct lease liabilities. It offers financial flexibility, subject to the cash needed to operate the business and fund commitments.

What would justify paying more?

HCLTech reported 41.2% trailing return on invested capital and $3,258 million of new-deal total contract value. These support the constructive case: a profitable incumbent is winning work while developing new capabilities. Contract value is not revenue already earned, however. Conversion timing, delivery costs and profitability determine its eventual value.

Valuation should start with normalised operating cash flow, capital spending, working-capital requirements and a realistic allowance for reinvestment. A downside case would combine weak revenue growth, customer capture of AI savings and continuing transition costs. A central case would reflect modest growth and margins consistent with guidance. An upside case would require sustained new demand and productivity gains that HCLTech retains economically.

One accounting trap deserves explicit attention: the release’s ₹70.22 diluted EPS is for the last twelve months, not this quarter, and excludes the New Labour Codes impact. Including that impact, it is ₹67.56. Neither figure should be multiplied by four. Any earnings multiple must identify which denominator it uses.

No current share-price valuation or target price is asserted here. Without a verified purchase price and explicit cash-flow assumptions, a claim that the shares are cheap would be unsupported. This follows Company Anatomy’s business-first research methodology.

Evidence that would change the view

The strongest countercase to caution is that revenue per employee is a lagging indicator and new bookings take time to become revenue. Today’s investment could precede materially stronger cash generation.

That case would strengthen if comparable AI revenue growth accompanies faster consolidated growth, improving productivity, sound cash conversion and returns from acquisitions. Concern would increase if AI growth remains rapid while company-wide growth stalls, customers retain most efficiency savings or repeated adjustments obscure the cash cost of delivery.

The quarter shows progress. The next test is whether that progress compounds into cash earnings per share at an attractive price.

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Disclosure: The author confirms that he, his associates and relatives have no holdings in HCLTech and no compensation or dealings with the company.

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