Bok Financial (BOKF) Tax Provisions (2009 - 2026)
Bok Financial (BOKF) posted Tax Provisions of $51.14 million for Q2 2026, up 25.7% from $40.69 million a year earlier and up 16.4% from the prior quarter.
Bok Financial (BOKF) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Bok Financial was $182.03 million, up 22.8% year-over-year; for FY2025, it was $162.64 million, up 13.7% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior years, Bok Financial's Tax Provisions was $143.09 million in FY2024 (-5.9%), $152.12 million in FY2023 (+8.8%), $139.86 million in FY2022 (-22.2%) and $179.78 million in FY2021 (+39.6%).
- Quarterly Tax Provisions has run from a low of $16.2 million in Q1 2022 to a high of $54.06 million in Q3 2021 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last four quarters, with growth averaging 20.2% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2023, with growth of 183.4%; the weakest was Q1 2022, with a decline of 61.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $43.94 million (Q1 2026), $51.24 million (Q4 2025) and $35.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Bok Financial | 7.68 Bn | -12.57 Bn | - | 51.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.14 Mn |
| Mar 31, 2026 | 43.94 Mn |
| Dec 31, 2025 | 51.24 Mn |
| Sep 30, 2025 | 35.71 Mn |
| Jun 30, 2025 | 40.69 Mn |
| Mar 31, 2025 | 34.99 Mn |
| Dec 31, 2024 | 39.28 Mn |
| Sep 30, 2024 | 33.31 Mn |
| Jun 30, 2024 | 47.30 Mn |
| Mar 31, 2024 | 23.20 Mn |
| Dec 31, 2023 | 28.95 Mn |
| Sep 30, 2023 | 33.26 Mn |
| Jun 30, 2023 | 44.00 Mn |
| Mar 31, 2023 | 45.91 Mn |
| Dec 31, 2022 | 47.86 Mn |
| Sep 30, 2022 | 39.68 Mn |
| Jun 30, 2022 | 36.12 Mn |
| Mar 31, 2022 | 16.20 Mn |
| Dec 31, 2021 | 34.84 Mn |
| Sep 30, 2021 | 54.06 Mn |
Bok Financial Tax Provisions 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=tax-provisions&ticker=BOKF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BOKF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();