Bok Financial (BOKF) Other Operating Expenses (2009 - 2026)
Bok Financial (BOKF) recorded Other Operating Expenses of $51.71 million in Q2 2026, up 4.3% from $49.6 million a year earlier but down 0.1% from the prior quarter.
Bok Financial (BOKF) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Bok Financial's Other Operating Expenses came in at $204.84 million as of Jun 30, 2026, up 6.3% year-over-year; for FY2025, it came in at $198.54 million, up 6.0% from FY2024.
- Annual Other Operating Expenses has increased for seven straight years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $187.27 million in FY2024 (+3.3%), $181.37 million in FY2023 (+9.3%), $165.91 million in FY2022 (+9.4%) and $151.61 million in FY2021 (+11.9%).
- Quarterly Other Operating Expenses has ranged from $38.37 million in Q3 2021 to $51.77 million in Q1 2026 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for 30 consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 1.7% (Q1 2024) to 13.4% (Q2 2022).
- Per Business Quant, the preceding three quarters came in at $51.77 million (Q1 2026), $51.3 million (Q4 2025) and $50.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Bok Financial | 7.68 Bn | -12.57 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.71 Mn |
| Mar 31, 2026 | 51.77 Mn |
| Dec 31, 2025 | 51.30 Mn |
| Sep 30, 2025 | 50.06 Mn |
| Jun 30, 2025 | 49.60 Mn |
| Mar 31, 2025 | 47.58 Mn |
| Dec 31, 2024 | 48.02 Mn |
| Sep 30, 2024 | 47.55 Mn |
| Jun 30, 2024 | 46.13 Mn |
| Mar 31, 2024 | 45.56 Mn |
| Dec 31, 2023 | 45.58 Mn |
| Sep 30, 2023 | 45.67 Mn |
| Jun 30, 2023 | 45.31 Mn |
| Mar 31, 2023 | 44.80 Mn |
| Dec 31, 2022 | 43.05 Mn |
| Sep 30, 2022 | 41.74 Mn |
| Jun 30, 2022 | 41.28 Mn |
| Mar 31, 2022 | 39.84 Mn |
| Dec 31, 2021 | 39.36 Mn |
| Sep 30, 2021 | 38.37 Mn |
Bok Financial Other 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=other-operating-expenses&ticker=BOKF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=BOKF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();