FB Financial (FBK) Provision for Losses (2016 - 2026)
FB Financial's Provision for Losses was $9.66 million in Q2 2026, compared with -$1.1 million a year earlier and up 152.6% from the prior quarter.
FB Financial (FBK) Provision for Losses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, FB Financial's Provision for Losses was $45.86 million through Jun 30, 2026, up 373.8% year-over-year; for FY2025, it was $33.19 million, up 126.3% from FY2024.
- Provision for Losses shows a five-year compound annual growth rate of -18.9% (FY2020 to FY2025).
- In earlier years, Provision for Losses was $14.67 million in FY2024 (-12.4%), $16.74 million in FY2023 (+61.1%), $10.39 million in FY2022 and -$39 million in FY2021.
- Quarterly Provision for Losses has moved between -$11.65 million (Q4 2021) and $29.96 million (Q3 2025) over five years.
- Compared with a year earlier, Provision for Losses was higher in three of the last five quarters, with growth averaging 18.5%.
- The best year-over-year quarter for Provision for Losses over five years was Q4 2024 (growth of 123.9%); the worst was Q3 2024 (a decline of 69.2%).
- Per Business Quant data, FBK's Provision for Losses in the three quarters before Q2 2026 was $3.82 million (Q1 2026), $2.43 million (Q4 2025) and $29.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | FB Financial | 2.73 Bn | -1.73 Bn | - | 1.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.17 Mn |
| Jun 30, 2026 | 9.66 Mn |
| Mar 31, 2026 | 3.82 Mn |
| Dec 31, 2025 | 2.43 Mn |
| Sep 30, 2025 | 29.96 Mn |
| Jun 30, 2025 | -1.10 Mn |
| Mar 31, 2025 | 1.91 Mn |
| Dec 31, 2024 | 7.02 Mn |
| Sep 30, 2024 | 1.86 Mn |
| Jun 30, 2024 | 3.94 Mn |
| Mar 31, 2024 | 1.85 Mn |
| Dec 31, 2023 | 3.14 Mn |
| Sep 30, 2023 | 6.03 Mn |
| Jun 30, 2023 | 2.58 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 152,000.00 |
| Sep 30, 2022 | 8.19 Mn |
| Jun 30, 2022 | 8.18 Mn |
| Mar 31, 2022 | -6.13 Mn |
| Dec 31, 2021 | -11.65 Mn |
FB Financial Provision for Losses 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=provision-for-losses&ticker=FBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "FBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=FBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();