BayFirst Financial (BAFN) Provision for Losses (2020 - 2026)
BayFirst Financial (BAFN) posted Provision for Losses of $28.98 million for Q2 2026, up 280.9% from $7.61 million a year earlier and up 751.3% from the prior quarter.
BayFirst Financial (BAFN) Provision for Losses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at BayFirst Financial was $45.86 million, up 123.6% year-over-year; for FY2025, it was $25.65 million, up 66.6% from FY2024.
- Annual Provision for Losses shows a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In prior years, BayFirst Financial's Provision for Losses was $15.4 million in FY2024 (+47.4%), $10.45 million in FY2023, -$700,000 in FY2022 and -$3.5 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Provision for Losses in data going back to Q3 2020.
- On a year-over-year basis, Provision for Losses increased in six of the last eight quarters, with growth averaging 89.8%.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q3 2023, with growth of 300.1%; the weakest was Q4 2025, with a decline of 55.7%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $3.4 million (Q1 2026), $2.31 million (Q4 2025) and $11.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | BayFirst Financial | 164.20 Mn | -444.74 Mn | - | -69,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -69,000.00 |
| Jun 30, 2026 | 28.98 Mn |
| Mar 31, 2026 | 3.40 Mn |
| Dec 31, 2025 | 2.31 Mn |
| Sep 30, 2025 | 11.17 Mn |
| Jun 30, 2025 | 7.61 Mn |
| Mar 31, 2025 | 4.56 Mn |
| Dec 31, 2024 | 5.22 Mn |
| Sep 30, 2024 | 3.12 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 4.06 Mn |
| Dec 31, 2023 | 2.74 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 2.77 Mn |
| Mar 31, 2023 | 1.94 Mn |
| Dec 31, 2022 | 700,000.00 |
| Sep 30, 2022 | 750,000.00 |
| Jun 30, 2022 | 250,000.00 |
| Mar 31, 2022 | -2.40 Mn |
| Dec 31, 2021 | -2.50 Mn |
BayFirst 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=BAFN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "BAFN", "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=BAFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();