Hdfc Bank Ltd (HDB) Accumulated Expenses (2009 - 2026)
Hdfc Bank's Accumulated Expenses came in at $21.01 billion for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 24.8% from $16.84 billion a year earlier.
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Analysis
Hdfc Bank Ltd (HDB) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Hdfc Bank's Accumulated Expenses was $20.47 billion, up 20.0% from FY2025.
- Accumulated Expenses has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 18.9% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $17.07 billion in FY2025 (+9.8%), $15.54 billion in FY2024 (+69.3%), $9.18 billion in FY2023 (+2.2%) and $8.98 billion in FY2022 (+4.1%).
- The fiscal Q4 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2009.
- Year-over-year, Accumulated Expenses increased in three of the last four quarters, with growth averaging 8.6%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2024 (growth of 72.9%), and the weakest in fiscal Q2 2025 (a decline of 10.1%).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 20.36 Bn |
| Sep 30, 2025 | 17.60 Bn |
| Mar 31, 2025 | 17.04 Bn |
| Sep 30, 2024 | 16.05 Bn |
| Mar 31, 2024 | 15.53 Bn |
| Sep 30, 2023 | 17.73 Bn |
| Mar 31, 2023 | 9.19 Bn |
| Sep 30, 2022 | 10.10 Bn |
| Mar 31, 2022 | 8.99 Bn |
| Sep 30, 2021 | 7.96 Bn |
| Mar 31, 2021 | 8.59 Bn |
| Sep 30, 2020 | 6.76 Bn |
| Mar 31, 2020 | 8.11 Bn |
| Sep 30, 2019 | 7.29 Bn |
| Mar 31, 2019 | 6.73 Bn |
| Sep 30, 2018 | 6.68 Bn |
| Mar 31, 2018 | 6.02 Bn |
| Sep 30, 2017 | 6.07 Bn |
| Mar 31, 2017 | 7.87 Bn |
| Sep 30, 2016 | 5.01 Bn |
API Access
Hdfc Bank Ltd Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=HDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "HDB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=HDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();