Results · Financial Services

Pine Labs reports strong FY26 results with AI focus

By Startup Enthusiast · 25 August 2026

What they do

The company posted ₹112.5 Cr net profit and ₹2,710.6 Cr revenue for FY26

It invested ₹24 Cr in AI to boost developer productivity and automate operations

AI deployments include email agents, chat AI agent, and autonomous code contributions

Pine Labs reported a consolidated net profit of ₹112.5 Cr for the fiscal year 2026.
Operating revenue grew by 19% year-on-year to reach ₹2,710.6 Cr in FY26.
In Q1 FY27, net profit was ₹19.6 Cr, showing over four times growth compared to the same period last year.
Q1 FY27 operating revenue stood at ₹736.9 Cr, marking a 20% year-on-year increase.
The company processed 201 Cr transactions with a Gross Transaction Value (GTV) of ₹4.2 Lakh Cr in June quarter.
BSE share price closed at ₹163.50, reflecting a 3.84% gain on the day.
Pine Labs invested ₹24 Cr in AI and technology infrastructure during FY26.
Specifically, ₹20 Cr went to AI tech while ₹4 Cr funded enterprise tech like MCP and RAG.

The results highlight significant operational efficiency gains driven by heavy AI investment.
Autonomous AI agents contributed to approximately 89% of new code changes recently.

Pine Labs operates an autonomous agentic payments protocol called P3P atop UPI.
It offers SignalIQ, an automated bank statement analyzer for financial stress prediction.
SignalIQ processed over 50,000 loan requests within weeks of its launch.
The company uses AI for cybersecurity including zero-day threat alerts and code scanning.
It deployed email agents and a PineOne Chat AI Agent for customer support.
An AI Virtual Employee platform helps automate various enterprise tasks.
Software testing cycle time reduced by more than 95% due to these tools.
Developer productivity increased by 25% following the implementation of AI workflows.
Initial incident analysis time was cut by 80% using automated systems.

The company will likely continue expanding its AI capabilities across customer service and security.
Further integration of autonomous agents into core payment protocols is expected.