Ameris Bancorp (ABCB) Net Interest Income After Provisions (2010 - 2026)
Ameris Bancorp (ABCB) reported Net Interest Income After Provisions of $245.1 million for Q3 2026, up 13.8% from $215.33 million a year earlier and up 4.2% from the prior quarter.
Ameris Bancorp (ABCB) Net Interest Income After Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Ameris Bancorp's Net Interest Income After Provisions came in at $930.57 million, up 9.1% year-over-year; for FY2025, it was $866.68 million, up 9.7% from FY2024.
- Net Interest Income After Provisions has a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- By year, Net Interest Income After Provisions came in at $790.4 million in FY2024 (+14.2%), $692.39 million in FY2023 (-5.1%), $729.33 million in FY2022 (+5.6%) and $690.69 million in FY2021 (+40.3%).
- The Q3 2026 figure ranks as the highest quarterly Net Interest Income After Provisions in data going back to Q2 2010.
- Year over year, Net Interest Income After Provisions has now increased in each of the last 11 quarters, with growth averaging 10.5% over the last eight quarters.
- The high point for year-over-year Net Interest Income After Provisions in five years was Q2 2025 (growth of 18.6%); the low point was Q1 2022 (a decline of 14.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $235.23 million (Q2 2026), $227.89 million (Q1 2026) and $222.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NII After Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 24.29 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Ameris Bancorp | 5.47 Bn | 5.47 Bn | - | 235.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 235.23 Mn |
| Mar 31, 2026 | 227.89 Mn |
| Dec 31, 2025 | 222.36 Mn |
| Sep 30, 2025 | 215.33 Mn |
| Jun 30, 2025 | 229.04 Mn |
| Mar 31, 2025 | 199.95 Mn |
| Dec 31, 2024 | 209.01 Mn |
| Sep 30, 2024 | 207.95 Mn |
| Jun 30, 2024 | 193.15 Mn |
| Mar 31, 2024 | 180.28 Mn |
| Dec 31, 2023 | 183.15 Mn |
| Sep 30, 2023 | 183.29 Mn |
| Jun 30, 2023 | 164.02 Mn |
| Mar 31, 2023 | 161.92 Mn |
| Dec 31, 2022 | 191.25 Mn |
| Sep 30, 2022 | 195.33 Mn |
| Jun 30, 2022 | 176.44 Mn |
| Mar 31, 2022 | 166.31 Mn |
| Dec 31, 2021 | 164.08 Mn |
| Sep 30, 2021 | 171.34 Mn |
Ameris Bancorp Net Interest Income After Provisions 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=net-interest-income-after-provisions&ticker=ABCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-interest-income-after-provisions", "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=net-interest-income-after-provisions&ticker=ABCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();