Poonawalla Fincorp’s newer loan businesses and AI efficiencies drive profitability outlook

Investment View and Valuation

Motilal Oswal Financial Services, in its August 10, 2026 company update on Poonawalla Fincorp (PFL), views the company as moving beyond an investment-led transformation into a diversified retail lender with improving profitability and earnings quality. The broker reiterates its Buy rating and values PFL at Rs 570 per share, based on 3.0 times March 2028E book value per share.

The report argues that PFL’s Rs 477 CMP does not fully reflect its improving operating fundamentals and potential for a valuation re-rating as return ratios converge towards those of higher-quality diversified retail lenders.

Diversified Growth Engines

The investment case is centred on diversified growth engines. Newer businesses, including gold loans, Prime personal loans, consumer durable finance, commercial vehicle finance and education loans, contributed about 26 per cent of disbursements and 17 per cent of AUM in Q1 FY27. Motilal Oswal expects the broader mix across products, customer segments and collateral types to reduce concentration risk and improve earnings resilience.

The broker forecasts an AUM CAGR of about 43 per cent and a disbursement CAGR of about 36 per cent over FY26 to FY28E. Its estimates imply AUM of Rs 8,800 crore in FY27E and Rs 12,422 crore in FY28E, versus Rs 6,035 crore in FY26.

Scale-up of Newer Franchises

In Q1 FY27, the gold loan network had 460 branches and average monthly disbursements of about Rs 290 crore. Commercial vehicle finance had over 1,100 channel partners across more than 70 locations in 13 states, while education loans had expanded to about 285 sales staff and around 500 partners, with average monthly disbursements of about Rs 90 crore. Motilal Oswal expects these businesses to become increasingly meaningful as their distribution networks mature and portfolios season.

Margin Expansion and Operating Leverage

Margin improvement is expected to be driven largely by internal execution rather than a favourable rate cycle. PFL reported a roughly 50 basis-point quarter-on-quarter expansion in disbursement yield to about 16.4 per cent in Q1 FY27, supported by better product mix and pricing. Management expects yield expansion to offset funding pressure.

Motilal Oswal forecasts NIM on AUM of 7.6 per cent in FY27E and 7.7 per cent in FY28E, compared with 7.0 per cent in FY26. The broker also expects operating leverage as earlier investments in distribution, digital capabilities and AI platforms begin to yield benefits. It estimates that the cost-to-income ratio will decline from 52.0 per cent in FY26 to 45.1 per cent in FY27E and 43.3 per cent in FY28E.

AI-led Productivity Gains

PFL’s AI ecosystem comprises 42 deployed initiatives and around 130 production-grade smart agents. The company targets customer-service automation of about 80-85 per cent. The report notes that AI has reduced pre-collection costs by about 15 per cent, improved post-due collection efficiency by about 27 per cent and lowered content-creation costs by over 60 per cent.

Asset Quality and Credit Costs

Asset-quality trends are a further support to the thesis. Credit costs declined to about 2.4 per cent in Q1 FY27 from 2.6 per cent in Q1 FY26, collection efficiency remained around 99.6 per cent and 6-month-on-book 30+ DPD improved to around 0.64 per cent for loans originated between October and December 2025.

Motilal Oswal attributes the improvement to stronger underwriting, analytics-led assessment, portfolio recalibration and a greater share of lower-risk secured products, salaried borrowers and education loans. It forecasts credit costs of 2.2 per cent in FY27E and 1.9 per cent in FY28E.

Earnings and Return-Ratio Outlook

Motilal Oswal estimates a PAT CAGR of about 117 per cent over FY26 to FY28E, with PAT rising from Rs 542 crore in FY26 to Rs 1,551 crore in FY27E and Rs 2,563 crore in FY28E.

Key Monitorables

• The pace and profitability of new-business scaling.
• The sustainability of margin expansion.
• Seasoning of rapidly growing portfolios.
• Credit-cost normalisation.
• Delivery of AI-led productivity gains.
• Continued underwriting discipline.