Bancfirst (BANF) Tax Provisions (2010 - 2026)
Bancfirst (BANF) posted Tax Provisions of $18.39 million for Q2 2026, up 5.9% from $17.37 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Bancfirst (BANF) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Bancfirst was $67.63 million, up 7.6% year-over-year; for FY2025, it was $64.51 million, up 9.5% from FY2024.
- Annual Tax Provisions has increased for five consecutive years, with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- In prior years, Bancfirst's Tax Provisions was $58.93 million in FY2024 (+2.5%), $57.48 million in FY2023 (+29.7%), $44.33 million in FY2022 (+8.7%) and $40.77 million in FY2021 (+70.4%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q4 2013.
- On a year-over-year basis, Tax Provisions has increased in each of the last eight quarters, with growth averaging 12.4% 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 115.7%; the weakest was Q2 2022, with a decline of 28.4%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $17.07 million (Q1 2026), $15.85 million (Q4 2025) and $16.32 million (Q3 2025).
Peer Set
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 | Bancfirst | 3.54 Bn | 3.54 Bn | - | 18.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.39 Mn |
| Mar 31, 2026 | 17.07 Mn |
| Dec 31, 2025 | 15.85 Mn |
| Sep 30, 2025 | 16.32 Mn |
| Jun 30, 2025 | 17.37 Mn |
| Mar 31, 2025 | 14.97 Mn |
| Dec 31, 2024 | 15.53 Mn |
| Sep 30, 2024 | 15.00 Mn |
| Jun 30, 2024 | 14.53 Mn |
| Mar 31, 2024 | 13.88 Mn |
| Dec 31, 2023 | 11.47 Mn |
| Sep 30, 2023 | 14.24 Mn |
| Jun 30, 2023 | 14.96 Mn |
| Mar 31, 2023 | 16.81 Mn |
| Dec 31, 2022 | 13.01 Mn |
| Sep 30, 2022 | 12.99 Mn |
| Jun 30, 2022 | 10.54 Mn |
| Mar 31, 2022 | 7.79 Mn |
| Dec 31, 2021 | 6.87 Mn |
| Sep 30, 2021 | 9.53 Mn |
API Access
Bancfirst 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=BANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "BANF", "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=BANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();