Kellton’s FY26: Steady Growth, Softer Q4 Margins, and an AI-First Positioning

Kellton Tech Solutions closed FY26 with double-digit revenue growth and higher full-year profits, even as its Q4 margins dipped and management cautioned that the March quarter was a “balancing quarter” due to audit-driven provisioning adjustments.

For Q4 FY26, the company reported revenue of INR 3,196 million, up 11.2% year on year. EBITDA was INR 307 million and PAT INR 195 million, translating to an EBITDA margin of 9.8% and PAT margin of 6.2%. EPS for the quarter stood at INR 0.34.

At the full-year level, Kellton delivered total income of INR 12,254 million for FY26, up 11.4% year on year. EBITDA came in at INR 1,439 million and PAT at INR 917 million. Margins for the year were steady, with EBITDA margin at 11.8% and PAT margin at 7.5%. FY26 EPS was INR 1.79, with management highlighting that the equity base increased due to FCCB conversion, impacting comparability.

Revenue mix stayed stable, with the US continuing to dominate

Kellton’s revenue mix in Q4 remained consistent with recent quarters. Digital Transformation accounted for 83.1% of Q4 revenue, Enterprise Solutions 13.9%, and other services 3.0%. Geographically, the business continued to be heavily weighted toward the US, which contributed 81.6% of Q4 revenue. India and APAC contributed 14.1%, while Europe was 4.3%.

Client concentration looked moderate in the quarter, with the top five clients accounting for 16.3% of revenue and the top ten for 26.0%.

Note: Management stated Q4 is a balancing quarter due to higher provisions and audit regrouping, making margins not comparable to prior quarters.

Strategy narrative: AI-first delivery, partnerships, and productization

Across the investor presentation and the earnings call, Kellton framed its positioning as “AI first,” emphasizing AI embedded across the delivery lifecycle. The company also highlighted ecosystem relationships and partnerships, including Microsoft, AWS, ServiceNow, SAP, Databricks, and Snowflake.

A notable strategic thread in the concall was partnership-led growth. Management stated that it had targeted three partnerships: Microsoft, ServiceNow, and Snowflake. The company linked ServiceNow expansion to its acquisition of Kumori Technologies, stating that Kumori strengthened the ServiceNow partnership and that the next step was targeting the US geography.

Kellton also highlighted recognition for its KAI platform (Kellton Agentic AI), which it said received the AGBA Innovation Star Rating Certification 2026 at the AEGIS Graham Bell Awards supported by MeitY.

In addition to services, the company spoke about building and productizing internal frameworks:

Phoenix.ai was described as an AI-led modernization approach using agents and Claude to automate legacy code conversion. Management cited an example involving about 4 million lines of code and claimed 80% to 90% automation of conversion.

Structy.ai was described as a data workflow automation framework intended to help enterprises get data “ready” for AI workloads. Management stated it was built with inputs from a global management consulting company.

Deal wins and operating context: demand is there, starts are slower

The company highlighted multiple deal wins in Q4, including an AI-powered Video KYC engagement for a major private sector bank and a cloud-native travel integration program for a travel technology platform. It also listed several ServiceNow-led wins across finance automation, CMDB optimization, and enterprise workplace initiatives.

However, the concall commentary added an important nuance. Management stated that while AI-related interest and use cases are increasing, project kick-offs are getting delayed at the final stage due to macro uncertainty. The US business was described as growing steadily, but management also mentioned a slowdown in accounts receivable collections as customers held payments.

Guidance: modest, but explicit

Management provided limited forward guidance, stating it was looking at about 10% revenue growth for the year ahead, with potential upside if conditions improved. On acquisitions, management stated it remains open to acquisition-led growth, but clarified that it evaluates targets for customers, geographic penetration, or capabilities rather than topline.

Takeaways

Kellton’s FY26 performance reflected steady growth in revenue and profits, supported by a stable segment mix dominated by Digital Transformation and a geography mix dominated by the US. The softer Q4 profitability and management’s repeated caveat about provisioning highlights the importance of monitoring margin normalization in early FY27.

Strategically, the company is leaning into AI-first delivery, partnership-led scaling, and internal productization through platforms like KAI and frameworks such as Phoenix.ai and Structy.ai. The key near-term question, based on management commentary, is not whether AI demand exists, but whether uncertainty-driven delays in project starts and collections ease quickly enough to translate the pipeline into revenue momentum.