Bok Financial (BOKF) Operating Expenses (2009 - 2026)
Bok Financial (BOKF) reported Operating Expenses of $361.68 million for Q2 2026, up 2.0% from $354.5 million a year earlier and up 2.1% from the prior quarter.
Bok Financial (BOKF) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bok Financial's Operating Expenses came in at $1.45 billion, up 4.0% year-over-year; for FY2025, it came in at $1.43 billion, up 4.9% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.37 billion in FY2024 (+2.5%), $1.33 billion in FY2023 (+14.5%), $1.16 billion in FY2022 (-1.1%) and $1.18 billion in FY2021 (+1.2%).
- Five-year quarterly Operating Expenses spans a low of $273.66 million in Q2 2022 and a high of $384.08 million in Q4 2023.
- Year over year, Operating Expenses has now increased in each of the last six quarters, with growth averaging 2.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 20.6%); the low point was Q4 2024 (a decline of 9.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $354.17 million (Q1 2026), $361.05 million (Q4 2025) and $369.77 million (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 | Bok Financial | 7.68 Bn | -12.57 Bn | - | 361.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 361.68 Mn |
| Mar 31, 2026 | 354.17 Mn |
| Dec 31, 2025 | 361.05 Mn |
| Sep 30, 2025 | 369.77 Mn |
| Jun 30, 2025 | 354.50 Mn |
| Mar 31, 2025 | 347.53 Mn |
| Dec 31, 2024 | 347.66 Mn |
| Sep 30, 2024 | 341.03 Mn |
| Jun 30, 2024 | 336.69 Mn |
| Mar 31, 2024 | 340.38 Mn |
| Dec 31, 2023 | 384.08 Mn |
| Sep 30, 2023 | 324.31 Mn |
| Jun 30, 2023 | 318.67 Mn |
| Mar 31, 2023 | 305.81 Mn |
| Dec 31, 2022 | 318.46 Mn |
| Sep 30, 2022 | 294.75 Mn |
| Jun 30, 2022 | 273.66 Mn |
| Mar 31, 2022 | 277.62 Mn |
| Dec 31, 2021 | 299.50 Mn |
| Sep 30, 2021 | 291.28 Mn |
Bok Financial 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=BOKF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BOKF", "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=BOKF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();