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HDFC Bank has green shoots beyond Q2

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⚡ Instant Key Takeaways (TL;DR)
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Core Development: HDFC Bank has green shoots beyond Q2
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Market & Financial Impact: HDFC Bank’s NIM fell to a 12-quarter low in Q2, but core operating profit grew and asset quality improved. Faster growth in higher-yielding loans could help margins recover.
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Actionable Insight: 🟢 Bullish Trigger: Positive business expansion or earnings beat may attract institutional and retail buying.

HDFC Bank’s September-quarter (Q2FY27) results may not look impressive at first glance, possibly prompting the 2.3% fall in its shares on Monday. Profit after tax grew just 4.7% year-on-year to ₹19,510 crore, as net interest margin (NIM) fell to its lowest level in 12 quarters. NIM declined 10 basis points (bps) year-on-year and sequentially to 3.16%.

The decline may partly reflect interest outgo on FCNR (B) deposits raised last quarter, even as the yield on assets fell 20 bps year-on-year to 7.6%. Notably, FCNR (B) deposits account for just 3% of HDFC Bank’s total deposits, limiting their impact on overall financials.

Slower net profit growth relative to asset base growth meant that RoA fell 10 bps year-on-year to 1.8%. Interestingly, net profit growth and RoA were impacted by a steep drop in treasury gains, which is not a part of core profitability.

Despite the NIM decline, core pre-provisioning operating profit (PPoP) grew 12.6% year-on-year to ₹28,683 crore in Q2FY27. Net interest income grew nearly 10%, as 14.4% growth in total assets compensated for margin compression. Fee and commission income rose 10% to ₹9,700 crore.

Slippages (addition of new bad loans excluding those in seasonal agricultural loans) shrank 13% QoQ to ₹5,400 crore, helping reduce overall gross NPA by 6 bps QoQ to 1.11%. While the provisioning (cost of bad debt) rose sharply by 15% QoQ to ₹3,574 crore, it is more because of general provision on standard assets. So, it is not worrisome.

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Official Publisher Attribution: This report is aggregated from LiveMint. ZeroLive provides live aggregation, automated sentiment synthesis, and exchange disclosure monitoring for retail market participants.
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