Ameris Bancorp (ABCB) Provision for Credit Losses (2010 - 2026)
Ameris Bancorp's Provision for Credit Losses was $17.25 million in Q2 2026, up 454.8% from $3.11 million a year earlier but down 3.6% from the prior quarter.
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Analysis
Ameris Bancorp (ABCB) Provision for Credit Losses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ameris Bancorp's Provision for Credit Losses was $80.73 million through Jun 30, 2026, up 83.0% year-over-year; for FY2025, it came in at $70.24 million, up 0.6% from FY2024.
- Provision for Credit Losses shows a five-year compound annual growth rate of -13.5% (FY2020 to FY2025).
- In earlier years, Provision for Credit Losses was $69.84 million in FY2024 (-54.5%), $153.52 million in FY2023 (+114.1%), $71.7 million in FY2022 and -$35.37 million in FY2021.
- Quarterly Provision for Credit 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 Credit Losses was higher in three of the last eight quarters, with growth averaging 68.6%.
- The best year-over-year quarter for Provision for Credit Losses over five years was Q1 2023 (growth of 698.1%); the worst was Q2 2025 (a decline of 87.7%).
- Per Business Quant data, ABCB's Provision for Credit Losses in the three quarters before Q2 2026 was $17.9 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) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.44 Bn | 895.44 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 405.91 Bn | -7,111.19 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 344.61 Bn | -2,031.50 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 302.63 Bn | -1,800.57 Bn | - | - |
| 5 | Morgan Stanley | 285.60 Bn | -258.43 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 285.44 Bn | -544.56 Bn | - | 717.20 Mn |
| 7 | Wells Fargo & Company | 254.50 Bn | 256.61 Bn | - | 1.03 Bn |
| 8 | Goldman Sachs | 250.58 Bn | -3,492.87 Bn | - | 368.00 Mn |
| 9 | Mitsubishi Ufj Financial | 250.17 Bn | -82.07 Bn | 10.89 Bn | - |
| 10 | Ameris Bancorp | 5.48 Bn | 5.48 Bn | - | 17.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.25 Mn |
| Mar 31, 2026 | 17.90 Mn |
| Dec 31, 2025 | 22.95 Mn |
| Sep 30, 2025 | 22.63 Mn |
| Jun 30, 2025 | 3.11 Mn |
| Mar 31, 2025 | 21.89 Mn |
| Dec 31, 2024 | 12.81 Mn |
| Sep 30, 2024 | 6.31 Mn |
| Jun 30, 2024 | 25.35 Mn |
| Mar 31, 2024 | 25.52 Mn |
| Dec 31, 2023 | 22.95 Mn |
| Sep 30, 2023 | 30.10 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 Credit 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-credit-losses&ticker=ABCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-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-credit-losses&ticker=ABCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();