Hsbc Holdings (HSBC) Operating Expenses (2009 - 2026)
Hsbc Holdings' Operating Expenses was $609 million in Q1 2026.
Analysis
Hsbc Holdings (HSBC) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hsbc Holdings' Operating Expenses was -$24.83 billion through Mar 31, 2026; for FY2025, it came in at -$4.68 billion.
- In earlier years, Operating Expenses was -$4.25 billion in FY2024, -$4.1 billion in FY2023, -$4.18 billion in FY2022 and -$4.44 billion in FY2021.
- The Q1 2026 figure marks the highest quarterly Operating Expenses since Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 13.66 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 14.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 609.00 Mn |
| Dec 31, 2025 | -9.33 Bn |
| Sep 30, 2024 | -8.14 Bn |
| Sep 30, 2023 | -7.97 Bn |
| Sep 30, 2022 | -7.98 Bn |
| Mar 31, 2022 | -8.31 Bn |
| Sep 30, 2021 | -1.03 Bn |
| Jun 30, 2021 | -1.10 Bn |
| Mar 31, 2021 | -1.10 Bn |
| Dec 31, 2020 | -34.43 Bn |
| Sep 30, 2020 | -1.04 Bn |
| Mar 31, 2020 | -1.01 Bn |
| Dec 31, 2019 | -5.41 Bn |
| Sep 30, 2019 | 8.15 Bn |
| Jun 30, 2019 | 8.93 Bn |
| Mar 31, 2019 | -8.22 Bn |
| Dec 31, 2018 | 9.14 Bn |
| Sep 30, 2018 | 7.97 Bn |
| Jun 30, 2018 | 8.17 Bn |
| Mar 31, 2018 | 9.38 Bn |
API Access
Hsbc Holdings Operating 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=operating-expenses&ticker=HSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HSBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();