Paytm Reports ₹211 Crore Profit in Q2FY26, Boosted by AI-Led Efficiency and Cost Optimization

Paytm Delivers ₹211 Crore Profit in Q2FY26, Driven by AI-Led Efficiency and Cost Discipline

Paytm (One 97 Communications Limited), India’s leading fintech and merchant payments platform, has reported a Profit After Tax (PAT) of ₹211 crore in the second quarter of FY26, marking another profitable quarter powered by strong execution, cost efficiency, and AI-driven operational gains.

The company’s operating revenue rose 24% year-on-year to ₹2,061 crore, supported by the continued growth of subscription-based merchants, a higher Gross Merchandise Value (GMV), and robust expansion across financial services.

EBITDA stood at ₹142 crore, reflecting a 7% margin, as Paytm maintained strict cost discipline and improved its contribution margin through automation and analytics.

AI Becomes Core to Paytm’s Operating Model

Paytm credited its profitability surge to its “AI-first” business strategy, which now underpins nearly every layer of its operations — from merchant onboarding and fraud detection to loan collections and user engagement.

Artificial Intelligence has enabled Paytm to streamline costs, enhance forecasting accuracy, and introduce new data-backed financial products, transforming it from a payments app into an integrated AI-powered financial ecosystem.

The company said its contribution profit grew 35% YoY to ₹1,207 crore, with a 59% contribution margin, underscoring improved revenue quality and efficiency.

Strong Financial Metrics and Segmental Growth

Paytm’s payment services segment continued to drive topline performance, generating ₹1,223 crore in revenue, a 25% YoY increase. Net payment revenue climbed 28% YoY to ₹594 crore, while merchant subscriptions rose to 1.37 crore, up 25 lakh from the previous year.

Revenue from financial services distribution surged 63% YoY to ₹611 crore, fuelled by higher merchant loan disbursements and AI-led improvements in collection efficiency.

Despite its expansion into smaller cities, Paytm successfully curbed overhead costs:

• Indirect expenses declined 18% YoY.

• Marketing expenditure fell 43% YoY, driven by AI-based campaign optimization.

• Non-sales employee costs dropped 41% YoY, supported by automation and voluntary ESOP surrenders by senior leadership.

One-Time Adjustment and Liquidity Strength

Excluding a one-time non-cash impairment of ₹190 crore related to First Games Technology Pvt Ltd, Paytm’s core PAT improved significantly to ₹211 crore, signaling consistent profitability across business units.

The company’s cash balance stood at ₹13,068 crore, reflecting strong liquidity and ample flexibility for future investments in AI infrastructure and lending expansion.

AI-Driven Transformation and Long-Term Outlook

Paytm’s management described AI as the “engine of the next decade” for the company — not only for operational efficiency but also as a driver of new revenue models in payments, credit, and wealth management.

The fintech major has been deploying AI tools to detect fraud patterns in real-time, customize user offers, and predict credit risks with higher accuracy. These technologies have been credited with improving customer retention and loan repayment rates.

Industry analysts see Paytm’s recent performance as an important indicator for the maturing Indian fintech landscape, where profitability and technological leverage are beginning to outweigh pure user growth.

As one analyst put it, “Paytm’s AI-led model shows that India’s fintech firms are entering their efficiency era — where machine learning isn’t just innovation, it’s profitability.”

With its second consecutive profitable quarter, Paytm is positioning itself not just as a payments company but as India’s benchmark for AI-led financial discipline and scalable profitability — signaling that the country’s fintech story is now entering its next chapter.