Poonawalla Fincorp Q2 FY27 Earnings Call: Guides Credit Cost Stability At 2%, AUM Growth To Moderate To 35-40% CAGR

Poonawalla Fincorp Ltd held its Q2 FY27 earnings call on October 09, 2026. Here's a quick read of what management said — performance, strategy, and the outlook ahead.

Profitability Inflects on Spread, Cost and Credit Discipline

• PAT of Rs.375 crores — up 22% QoQ in Q2 FY 2026-2027, with pre-provisioning operating profit of Rs.877 crores (+11.8% QoQ).
• AUM reached Rs.74,008 crores — up 10.4% QoQ in Q2 FY 2026-2027; net interest income including fees was Rs.1,589 crores (+12.3% QoQ, +75.6% YoY).
• ROA of 2.18% — up 20bps QoQ and ~149bps YoY vs Q2 FY 2025-2026; NIM plus fees expanded 16bps QoQ to 9.26%, with net income sustained above 9% for three quarters.
• Portfolio yield rose ~45bps QoQ to 14.08% — cost of borrowing stood at 7.76% in Q2 FY 2026-2027.
• Capital adequacy at 18.68% — Tier I at 17.15%, with surplus liquidity of Rs.6,526 crores as of Sep 30, 2026.
• Management participants — Arvind Kapil (MD & CEO), Sunil Samdani (ED), Shriram Iyer (Chief Credit & Analytics), and Harsh Kumar (Head AI & CHRO).

Structural Milestone in Credit Cost; Early Indicators Improve

• Credit cost of 2.19% in Q2 FY 2026-2027 — down from 2.40% in Q1 FY27 and 2.51% in Q4 FY26; management described it as a structural milestone and guided credit cost is expected to stabilize, supported by portfolio calibration and a strong collection setup.
• GNPA improved to 1.20% — from 1.37% in Q1 FY27; NNPA improved to 0.61% from 0.7%; Stage 2 assets improved 9bps to 0.94%, with Stage 1 at 97.86%.
• 6 MOB 30+ (ex-gold) at 0.35% — down from 0.67% in Q1 FY 2026-2027 (a 41bps improvement on a like-to-like basis), cited as a lead indicator of sustainable credit costs.
• 53% improvement in 12 MOB 90+ — for originations post-September 2024 vs the prior vintage; Shriram Iyer guided this supports credit cost stability at ~2% despite 60-65% of the book being seasoned <12 months.
• Stage 1 and Stage 3 slippage ratios each improved 16% QoQ — management attributed performance to a risk-first underwriting architecture, a closed-loop feedback system, and a dual AI/field specialist collection strategy.
• Stage 2 compression has a trade-off — Arvind Kapil noted compressing Stage 2 assets requires volume reduction, linking sustained Stage 2 levels to the ~10% QoQ loan book growth in Q2 FY 2026-2027.

New Products Scale; Gold Loan and Branch Expansion On Track

• New products contributed 28% of Q2 FY 2026-2027 disbursements — management highlighted strong performance across digital, gold, education, LAP, and business loans.
• Gold loan disbursements of Rs.1,066 crores — up from Rs.875 crores in Q1 FY27; consumer durables reached Rs.606 crores in Q2 FY 2026-2027.
• ~400 new gold loan branches on track for FY 2026-2027 — 90 added in Q2 FY27 to reach 550 branches; distribution network scaled to 1,250+ channel partners.
• Consumer durable franchise nearly doubled vs FY 2025-2026 — management targeted doubling it in FY 2026-2027; Arvind Kapil noted customers who completed loans were 40% better credit quality than the industry benchmark, attributed to proprietary AI/ML models and seasoning rather than cyclical conditions.
• Branch economics and capex — new branches guided to break even in 13 months; management committed to investing in 300-400 branches annually.
• Cross-sell in early stages — management guided product-per-customer metrics are expected to gain relevance by FY 2027-2028.

Platformization Delivers Fastest Quarterly AI Delivery Rate

• AI portfolio expanded to 143 projects — up from 101, with 84 live in production and 59 underway; 34 projects delivered in Q2 FY 2026-2027, the fastest quarterly rate, driven by platformization and component reuse.
• AI marketing factory of 14 specialized agents — has produced 2,200+ assets (140+ videos) to date; AI-generated campaigns delivered 1.5–2x higher click-through rates, supporting outreach to 15 lakh+ leads/month at 60%+ lower cost vs traditional agency models.
• Governance within RBI's seven sutras — a three-layer lifecycle (red team stress testing, deployment security, post-live monitoring) including a dedicated hallucination containment framework; management stated innovation and governance scale together.
• Next phase shifts from breadth to depth — management guided it aims to embed AI as a daily partner across every role and core process to become an "AI-native enterprise".

Fixed-Rate Buffer and Yield Headroom vs Insurance Commission Risk

• 30% fixed-rate NCD mix cited as a rate buffer — Sunil Samdani flagged this as key protection against rising rates; Arvind Kapil confirmed a 25 bps hike was passed effective early Q3 FY 2026-2027, supported by a 20–200 bps headroom between portfolio yield (14.08%) and disbursement yields.
• Insurance commission regulation could compress fee yields — Sunil Samdani stated the proposed regulation (period unspecified) is a risk, but assessed the company's 14.8% portfolio yield and 200 bps spread as a buffer to absorb the impact from FY 2026-2027 onward.
• OpEx on an annualized basis on course to be flat — management committed to continued AI investments and aims for margin expansion across NIMs, credit cost, and OpEx; Arvind Kapil reported a NIM-plus-fees spread of "well over 200 bps" for Q2 FY 2026-2027.

Growth Moderation, ROA Commitments and Multi-Year Levers

• AUM growth to moderate to a 35–40% CAGR target — management guided this over FY 2026–2027 to FY 2028–2029, vs the 55% growth to Rs.74,000 crores reported in Q2 FY 2026-2027.
• ROA commitment reiterated by June 2028 — Arvind Kapil reaffirmed the commitment, with peak structural ROA contribution from spread, OpEx leverage, and credit costs expected by FY 2029–2030.
• Structural operating leverage (OpEx/AUM) targeted — management aims to build it as a key ROA contributor over a two-year window, by FY 2028–2029.
• Credit costs have further scope for improvement over the next 1–2 years — per management guidance, noting current costs exclude the benefit of scaling newer, lower-cost asset classes; a prudent secured/unsecured mix was cited as supporting inherently lower risk and stable behavioral patterns.