Fractal Q1 FY27: Growth held back by TMT, but margins and client expansion strengthened

Fractal Analytics Limited reported a strong profitability quarter in Q1 FY27, even as headline growth was held back by a continued decline in its Technology, Media and Telecom vertical. Consolidated revenue from operations rose 20% year on year to INR 912.5 crore, while net income increased 92% year on year to INR 72.3 crore. Margin expansion was visible across the P&L, with adjusted EBITDA margin improving to 16.8% from 15.0% a year ago, and net income margin expanding to 7.9% from 5.0%.

Management’s commentary positioned the quarter as one where client relationships deepened and operating leverage played out, but where execution in one key vertical disappointed. It also highlighted a shift in the shape of demand as enterprises move AI budgets from experimentation to core spend, while some legacy analytics work compresses or disappears.

Growth: strong in HLS and BFSI, weak in TMT

Within the Fractal.ai business, growth remained broad-based across most verticals. Healthcare and Life Sciences grew 69% year on year, becoming the second-largest industry vertical, while Banking and Financial Services grew 36% and Consumer Products, Goods and Retail grew 19%. The outlier was TMT, which declined 22% year on year.

Management noted that excluding TMT, Fractal.ai would have grown materially faster. It also said TMT weakness appears to be bottoming out and expects sequential improvement in the next quarter, driven primarily by new deals from existing clients.

Geographically, the Americas remained the largest region by revenue share for Fractal.ai, followed by Europe and APAC and others. Europe led growth with 25% year on year, closely followed by the Americas at 24%. APAC and others declined 2%, which management attributed to the TMT issue and the conflict in the Middle East.

Operationally, the company continued to show improvement in client quality indicators. Net revenue retention was reported at 117% in Q1 FY27, with growth largely driven by existing clients and churn reported at zero for the quarter. Fractal.ai’s net promoter score stood at 77.

Financial summary (Q1 FY27 vs Q1 FY26)

Profitability: operating leverage and lower finance costs supported net income

Fractal’s gross margin expanded modestly to 45.7%. The CFO explained that a weaker rupee supported gross margin, while annual merit increases and higher headcount for future growth created headwinds. The more meaningful improvement came from operating leverage, as SG&A reduced to 24.3% of revenue from 26.2% a year ago.

The net income bridge in the presentation attributed the year-on-year expansion largely to higher operating margin, improved cost efficiency and exceptional items, partially offset by tax. The company also reported a share of loss from its associate, qure.ai, of INR 23.4 crore in Q1 FY27, similar to the prior year. Excluding the associate impact, net income was stated at INR 95.7 crore, translating to a 10.5% margin.

From a cash perspective, cash flow from operations was negative INR 103.0 crore, which management said was typical for the first quarter due to variable pay payouts for the previous fiscal year. DSO improved to 71 days from 73 days a year ago. Cash and cash equivalents (including mutual funds and fixed deposits) increased to INR 1,637.8 crore as of June 30, 2026, including IPO proceeds. The company reiterated it repaid long-term debt of INR 288.7 crore in April 2026 as planned.

Products, platform and partnerships: building for an AI-native enterprise

The presentation and call reinforced Fractal’s strategy of serving enterprises through three pillars: AI-led Transformation, AI Foundations, and AI Work and Workforce. Management positioned Cogentiq as the platform underpinning offerings across these pillars.

On product traction, the company highlighted several R&D-backed assets:

• Cogentia by Fractal reported a qualified pipeline of USD 4 million and 10 plus clients.
• Asper reported a USD 9 million annual run rate, up 59% year on year.
• Analytics Vidhya reported USD 4 million trailing revenue with 40% year on year growth and an NPS of 90.

R&D investment was stated at 6.7% of revenue in Q1 FY27. Management said it intends to increase R&D as a percentage of revenue up to 10%, but only in line with expanding gross margins. It also emphasized improving R&D discipline by pushing teams to work backwards from revenue.

The company also leaned into partner-led go-to-market. It listed partnerships with Anthropic, OpenAI, Databricks, AWS, Google Cloud and Microsoft, and reported 42 joint engagements in the trailing twelve months ended June 2026. Management said five of the largest deals in the quarter came through a partner, while also acknowledging partnership-led revenue has historically been small and remains a capability being built.

Key themes investors are likely to track

First, the TMT vertical remains the primary swing factor for near-term growth. Management expects sequential improvement in Q2 FY27, but the quarter again showed that a single vertical can materially pull down headline performance.

Second, the company’s near-term earnings trajectory will reflect the full-quarter impact of wage increases effective June 1, as highlighted by the CFO.

Third, the shift toward platform and license-led revenue is still early. Management stated license revenue is about 3% of total revenue and expects it to rise. It also said it will work toward clearer reporting of Cogentiq-related revenue from next quarter, suggesting investors may see greater segmentation of recurring, product and enablement revenues over time.

Finally, leadership transition at the CFO level is underway. The CFO stated Q1 FY27 was his last call and management said it will share details on a successor after completing the process.

Conclusion

Fractal’s Q1 FY27 results combined strong profitability with a mixed growth profile. While revenue growth was weighed down by a TMT decline, net revenue retention of 117%, NPS of 77 and continued expansion in HLS and BFSI suggested client relationships remained durable. Margin expansion, a strengthened balance sheet post IPO and continued investments in Cogentiq and R&D-backed products framed management’s case that the company is positioning for an enterprise AI adoption cycle that is shifting rapidly from pilots to core budgets.

The next few quarters are likely to be judged on two execution tests: whether TMT stabilizes as expected, and whether the company can translate platform, partnerships and rising R&D intensity into a higher share of scalable, recurring revenue without sacrificing the margin gains delivered this quarter.