Ameris Bancorp (ABCB) Change in Net Loans (2010 - 2026)
Ameris Bancorp (ABCB) posted Change in Net Loans of $337.83 million for Q2 2026, down 2.2% from $345.39 million a year earlier but up 1.8% from the prior quarter.
Ameris Bancorp (ABCB) Change in Net Loans (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Net Loans at Ameris Bancorp was $1.18 billion, up 538.8% year-over-year; for FY2025, it was $836.95 million, up 37.1% from FY2024.
- Annual Change in Net Loans shows a five-year compound annual growth rate of -13.5% (FY2020 to FY2025).
- In prior years, Ameris Bancorp's Change in Net Loans was $610.5 million in FY2024 (+25.8%), $485.46 million in FY2023 (-85.5%), $3.35 billion in FY2022 (+490.8%) and $566.24 million in FY2021 (-67.3%).
- Quarterly Change in Net Loans has run from a low of -$253.13 million in Q3 2023 to a high of $1.33 billion in Q2 2022 over five years.
- The strongest year-over-year quarter for Change in Net Loans in the past five years was Q2 2022, with growth of 803.6%; the weakest was Q4 2023, with a decline of 85.4%.
- According to Business Quant data, Change in Net Loans for the three prior quarters was $331.99 million (Q1 2026), $266.22 million (Q4 2025) and $242.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 941.10 Bn | 941.10 Bn | - | 56.27 Bn |
| 2 | Bank Of America | 368.14 Bn | -2,007.97 Bn | - | - |
| 3 | Hsbc Holdings | 311.49 Bn | -1,792.10 Bn | - | - |
| 4 | Morgan Stanley | 300.45 Bn | -208.64 Bn | - | 12.69 Bn |
| 5 | Royal Bank Of Canada | 295.40 Bn | -534.64 Bn | - | - |
| 6 | Goldman Sachs | 274.53 Bn | -3,468.92 Bn | - | 14.56 Bn |
| 7 | Wells Fargo & Company | 263.46 Bn | 263.46 Bn | - | 20.45 Bn |
| 8 | Mitsubishi Ufj Financial | 250.56 Bn | -90.83 Bn | 10.89 Bn | - |
| 9 | American Express | 223.87 Bn | 23.35 Bn | - | 2.90 Bn |
| 10 | Ameris Bancorp | 5.64 Bn | 5.64 Bn | - | 337.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 337.83 Mn |
| Mar 31, 2026 | 331.99 Mn |
| Dec 31, 2025 | 266.22 Mn |
| Sep 30, 2025 | 242.34 Mn |
| Jun 30, 2025 | 345.39 Mn |
| Mar 31, 2025 | -17.00 Mn |
| Dec 31, 2024 | -205.38 Mn |
| Sep 30, 2024 | 61.46 Mn |
| Jun 30, 2024 | 408.47 Mn |
| Mar 31, 2024 | 345.95 Mn |
| Dec 31, 2023 | 84.97 Mn |
| Sep 30, 2023 | -253.13 Mn |
| Jun 30, 2023 | 500.54 Mn |
| Mar 31, 2023 | 153.07 Mn |
| Dec 31, 2022 | 580.35 Mn |
| Sep 30, 2022 | 1.23 Bn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 205.19 Mn |
| Dec 31, 2021 | 350.95 Mn |
| Sep 30, 2021 | -3.82 Mn |
Ameris Bancorp Change in Net Loans 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=change-in-net-loans&ticker=ABCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=ABCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();