Bok Financial (BOKF) Rent Expense (2009 - 2026)
Bok Financial (BOKF) posted Rent Expense of $34.15 million for Q2 2026, up 4.6% from $32.66 million a year earlier and up 2.9% from the prior quarter.
Bok Financial (BOKF) Rent Expense (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent Expense at Bok Financial was $133.07 million, up 2.0% year-over-year; for FY2025, it came in at $131.38 million, up 4.8% from FY2024.
- Annual Rent Expense has increased for four consecutive years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, Bok Financial's Rent Expense was $125.33 million in FY2024 (+3.1%), $121.5 million in FY2023 (+4.0%), $116.87 million in FY2022 (+7.6%) and $108.59 million in FY2021 (-3.7%).
- The Q2 2026 figure stands as the highest quarterly Rent Expense in data going back to Q2 2009.
- On a year-over-year basis, Rent Expense increased in six of the last eight quarters, with growth averaging 3.9%.
- The strongest year-over-year quarter for Rent Expense in the past five years was Q1 2022, with growth of 15.7%; the weakest was Q1 2023, with a decline of 7.8%.
- According to Business Quant data, Rent Expense for the three prior quarters was $33.18 million (Q1 2026), $32.69 million (Q4 2025) and $33.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 803.00 Mn |
| 10 | Bok Financial | 7.68 Bn | -12.57 Bn | - | 34.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.15 Mn |
| Mar 31, 2026 | 33.18 Mn |
| Dec 31, 2025 | 32.69 Mn |
| Sep 30, 2025 | 33.04 Mn |
| Jun 30, 2025 | 32.66 Mn |
| Mar 31, 2025 | 32.99 Mn |
| Dec 31, 2024 | 32.71 Mn |
| Sep 30, 2024 | 32.08 Mn |
| Jun 30, 2024 | 30.25 Mn |
| Mar 31, 2024 | 30.29 Mn |
| Dec 31, 2023 | 30.36 Mn |
| Sep 30, 2023 | 32.58 Mn |
| Jun 30, 2023 | 30.11 Mn |
| Mar 31, 2023 | 28.46 Mn |
| Dec 31, 2022 | 29.23 Mn |
| Sep 30, 2022 | 29.30 Mn |
| Jun 30, 2022 | 27.49 Mn |
| Mar 31, 2022 | 30.86 Mn |
| Dec 31, 2021 | 26.90 Mn |
| Sep 30, 2021 | 28.40 Mn |
Bok Financial Rent Expense 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=rent-expense&ticker=BOKF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=BOKF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();