Huntington Bancshares (HBAN) Operating Expenses (2009 - 2026)
Huntington Bancshares (HBAN) posted Operating Expenses of $1.81 billion for Q2 2026, up 51.1% from $1.2 billion a year earlier and up 2.0% from the prior quarter.
Huntington Bancshares (HBAN) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Huntington Bancshares was $6.25 billion, up 34.2% year-over-year; for FY2025, it came in at $5.02 billion, up 9.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In prior years, Huntington Bancshares' Operating Expenses was $4.56 billion in FY2024 (-0.3%), $4.57 billion in FY2023 (+8.9%), $4.2 billion in FY2022 (-4.0%) and $4.38 billion in FY2021 (+56.5%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q3 2009.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 16.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 81.0%; the weakest was Q3 2022, with a decline of 18.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.77 billion (Q1 2026), $1.42 billion (Q4 2025) and $1.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Huntington Bancshares | 30.83 Bn | 26.34 Bn | - | 1.81 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.81 Bn |
| Mar 31, 2026 | 1.77 Bn |
| Dec 31, 2025 | 1.42 Bn |
| Sep 30, 2025 | 1.25 Bn |
| Jun 30, 2025 | 1.20 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 30, 2024 | 1.13 Bn |
| Jun 30, 2024 | 1.12 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 1.35 Bn |
| Sep 30, 2023 | 1.09 Bn |
| Jun 30, 2023 | 1.05 Bn |
| Mar 31, 2023 | 1.09 Bn |
| Dec 31, 2022 | 1.08 Bn |
| Sep 30, 2022 | 1.05 Bn |
| Jun 30, 2022 | 1.02 Bn |
| Mar 31, 2022 | 1.05 Bn |
| Dec 31, 2021 | 1.22 Bn |
| Sep 30, 2021 | 1.29 Bn |
Huntington Bancshares 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=HBAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HBAN", "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=HBAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();