Bancfirst (BANF) Loans - Loss Allowance (2010 - 2026)
Bancfirst's Loans - Loss Allowance came in at $107.81 million for Q2 2026, up 11.2% from $96.99 million a year earlier and up 2.4% from the prior quarter.
Bancfirst (BANF) Loans - Loss Allowance (2010 - 2026) Analysis & Trends
At the end of FY2025, Bancfirst's Loans - Loss Allowance was $104.3 million, up 4.8% from FY2024.
- Loans - Loss Allowance has increased in each of the last four years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Going back by year, Loans - Loss Allowance was $99.5 million in FY2024 (+2.8%), $96.8 million in FY2023 (+4.4%), $92.73 million in FY2022 (+10.5%) and $83.94 million in FY2021 (-8.1%).
- The Q2 2026 figure represents the highest quarterly Loans - Loss Allowance in data going back to Q2 2010.
- Year-over-year, Loans - Loss Allowance has increased for three consecutive quarters, with growth averaging 3.3% over the last eight quarters.
- The fastest year-over-year change in Loans - Loss Allowance over five years came in Q2 2023 (growth of 11.5%), and the weakest in Q3 2021 (a decline of 18.5%).
- Business Quant data shows BANF's Loans - Loss Allowance at $105.33 million (Q1 2026), $104.3 million (Q4 2025) and $99.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 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 | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | Bancfirst | 3.54 Bn | 3.54 Bn | - | 107.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.81 Mn |
| Mar 31, 2026 | 105.33 Mn |
| Dec 31, 2025 | 104.30 Mn |
| Sep 30, 2025 | 99.51 Mn |
| Jun 30, 2025 | 96.99 Mn |
| Mar 31, 2025 | 100.46 Mn |
| Dec 31, 2024 | 99.50 Mn |
| Sep 30, 2024 | 101.88 Mn |
| Jun 30, 2024 | 99.63 Mn |
| Mar 31, 2024 | 97.27 Mn |
| Dec 31, 2023 | 96.80 Mn |
| Sep 30, 2023 | 97.78 Mn |
| Jun 30, 2023 | 96.92 Mn |
| Mar 31, 2023 | 94.76 Mn |
| Dec 31, 2022 | 92.73 Mn |
| Sep 30, 2022 | 89.87 Mn |
| Jun 30, 2022 | 86.94 Mn |
| Mar 31, 2022 | 87.24 Mn |
| Dec 31, 2021 | 83.94 Mn |
| Sep 30, 2021 | 86.46 Mn |
Bancfirst Loans - Loss Allowance 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=loans-loss-allowance&ticker=BANF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=BANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();