Ameris Bancorp (ABCB) Provision for Losses (2010 - 2026)
Ameris Bancorp's Provision for Losses was $17.25 million in Q2 2026, up 522.4% from $2.77 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Ameris Bancorp (ABCB) Provision for Losses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ameris Bancorp's Provision for Losses was $79.38 million through Jun 30, 2026, up 82.2% year-over-year; for FY2025, it was $70.24 million, up 19.5% from FY2024.
- Provision for Losses shows a five-year compound annual growth rate of -13.5% (FY2020 to FY2025).
- In earlier years, Provision for Losses was $58.79 million in FY2024 (-58.8%), $142.66 million in FY2023 (+99.0%), $71.7 million in FY2022 and -$35.37 million in FY2021.
- Quarterly Provision for Losses has moved between -$9.68 million (Q3 2021) and $49.73 million (Q1 2023) over five years.
- Compared with a year earlier, Provision for Losses was higher in four of the last eight quarters, with growth averaging 80.9%.
- The best year-over-year quarter for Provision for Losses over five years was Q1 2023 (growth of 698.1%); the worst was Q2 2025 (a decline of 85.2%).
- Per Business Quant data, ABCB's Provision for Losses in the three quarters before Q2 2026 was $16.55 million (Q1 2026), $22.95 million (Q4 2025) and $22.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 939.56 Bn | 939.56 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 365.96 Bn | -2,010.15 Bn | - | 1.30 Bn |
| 3 | Hsbc Holdings | 311.54 Bn | -1,792.05 Bn | - | - |
| 4 | Morgan Stanley | 299.87 Bn | -209.23 Bn | - | - |
| 5 | Royal Bank Of Canada | 294.50 Bn | -535.55 Bn | - | 717.20 Mn |
| 6 | Goldman Sachs | 274.96 Bn | -3,468.49 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 262.04 Bn | 262.04 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 250.56 Bn | -90.83 Bn | 10.89 Bn | - |
| 9 | American Express | 223.45 Bn | 22.93 Bn | - | 985.00 Mn |
| 10 | Ameris Bancorp | 5.65 Bn | 5.65 Bn | - | 17.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.25 Mn |
| Mar 31, 2026 | 16.55 Mn |
| Dec 31, 2025 | 22.95 Mn |
| Sep 30, 2025 | 22.63 Mn |
| Jun 30, 2025 | 2.77 Mn |
| Mar 31, 2025 | 21.89 Mn |
| Dec 31, 2024 | 12.81 Mn |
| Sep 30, 2024 | 6.11 Mn |
| Jun 30, 2024 | 18.77 Mn |
| Mar 31, 2024 | 21.11 Mn |
| Dec 31, 2023 | 22.95 Mn |
| Sep 30, 2023 | 24.46 Mn |
| Jun 30, 2023 | 45.52 Mn |
| Mar 31, 2023 | 49.73 Mn |
| Dec 31, 2022 | 32.89 Mn |
| Sep 30, 2022 | 17.65 Mn |
| Jun 30, 2022 | 14.92 Mn |
| Mar 31, 2022 | 6.23 Mn |
| Dec 31, 2021 | 2.76 Mn |
| Sep 30, 2021 | -9.68 Mn |
API Access
Ameris Bancorp 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=ABCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "ABCB", "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=ABCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();