Synopsis:-Reporting its Q4 and full-year FY26 results on May 8, 2026, Sasken Technologies has emerged from a year of structural rebuilding with revenues more than doubling and a sharpened AI-first delivery model that now covers nearly four in every five client engagements, a metric that deserves more attention than the headline numbers.
A product engineering firm’s FY26 results tell two stories simultaneously: one of headline revenue doubling and the other of a quieter but arguably more significant shift, with AI now embedded across nearly four in five client engagements. The numbers are strong, but the structural transformation underneath them may matter more to long-term investors than the quarterly beat.
With a market capitalization of Rs. 2,068 crore, the shares of Sasken Technologies were trading at 1,634.60 per share on May 11, 2026. The stock hit the upper circuit of 20 percent from the previous day’s closing price of Rs. 1,362.04 on the NSE. It is trading at a P/E of 42x.
FY26 & Q4 Results
Full-year consolidated revenue came in at ₹1,113.17 crore, more than doubling year-on-year driven by 27.4% organic growth in strategic accounts and the first full-year contribution from the Borqs acquisition. Consolidated PAT stood at ₹58.65 crore, up 16.1% YoY, while EBIT reached ₹49.43 crore, a 452.5% jump excluding the one-time ₹830.80 lakh exceptional charge tied to India’s new labor codes.
The board also announced a dividend of ₹13 per share, at a face value of 130%, with the final dividend pending shareholder approval. The quarter closed on a strong note, with consolidated revenue at ₹334.02 crore, up 33.5% sequentially and 125.7% year-on-year. EBIT came in at ₹22.85 crore, a 48.9% sequential improvement, with EBIT margins at 6.8%. PAT surged 217.3% QoQ to ₹29 crore, translating to a PAT margin of 8.7%. The quarter’s order book stood at Rs.332.76 crore, of which Rs.203.04 crore was attributable to new business, with six new logos added during the period.
The AI Integration Story
The number that stands out from Sasken’s FY26 disclosures is not the revenue figure; it is 77 percent. That is the share of client delivery engagements already incorporating AI, a proportion that management says is growing. The company is not treating AI as a separate revenue line or a marketing label. Instead, it has embedded it across existing delivery programs, with the stated outcome of compressing what were previously day-long internal insight generation cycles down to minutes. That is a measurable, client-facing proof point.
Internally, Sasken is deploying secure, on-premise AI infrastructure rather than relying on external cloud-based tools, a deliberate choice that signals both data sensitivity awareness and a seriousness about long-term adoption across the organization.
Chip-to-Cognition: One Stack, Multiple Markets
The architecture underpinning this AI push is what Sasken calls its “Chip-to-Cognition” model, a positioning that now has real substance behind it. Through Sasken Silicon, the group handles deep semiconductor work: analog and mixed-signal design, SoC platform engineering, and security IP.
The acquisition of Borqs Technologies, consolidated from April 2025, adds IoT software, Android device capabilities, and 5G solutions. Layer the AI delivery model on top, and the company can credibly pitch itself as a single engineering partner from chip design all the way through to intelligent connected products.
This was visible in Q4’s order book. The quarter closed with a total order book of Rs. 332.76 crore, of which Rs. 203.04 came from new business. Wins included full-chip analog and mixed-signal design for an AI-focused SoC on advanced 12nm process technology, a strategic RTOS engagement spanning aviation, defense, telecom, and automotive verticals, and instrument cluster software development for a global automotive OEM.
Investor Overview
Sasken sits at an interesting inflection point, a mid-cap product engineering firm that has quietly assembled a chip-to-cognition stack spanning semiconductor design, IoT, and AI-embedded delivery. With 77% of client engagements already incorporating AI and the Borqs integration adding manufacturing depth, the structural story is becoming clearer. The key question for investors is whether margin expansion can keep pace with the revenue transformation already underway.
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