Ameris Bancorp (ABCB) EBITDA (2010 - 2026)
Ameris Bancorp (ABCB) posted EBITDA of $184.32 million for Q2 2026, down 30.9% from $266.64 million a year earlier and down 27.5% from the prior quarter.
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Analysis
Ameris Bancorp (ABCB) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Ameris Bancorp was $959.54 million, down 7.7% year-over-year; for FY2025, it came in at $1.02 billion, down 2.0% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- In prior years, Ameris Bancorp's EBITDA was $1.04 billion in FY2024 (+21.8%), $855.14 million in FY2023 (+41.0%), $606.69 million in FY2022 (+5.3%) and $576.12 million in FY2021 (+24.1%).
- The Q2 2026 figure stands as the lowest quarterly EBITDA since Q1 2023.
- On a year-over-year basis, EBITDA increased in four of the last eight quarters, with an average decline of 0.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2023, with growth of 56.3%; the weakest was Q2 2026, with a decline of 30.9%.
- According to Business Quant data, EBITDA for the three prior quarters was $254.06 million (Q1 2026), $260.16 million (Q4 2025) and $260.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Ameris Bancorp | 5.34 Bn | 5.34 Bn | - | 184.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.32 Mn |
| Mar 31, 2026 | 254.06 Mn |
| Dec 31, 2025 | 260.16 Mn |
| Sep 30, 2025 | 260.99 Mn |
| Jun 30, 2025 | 266.64 Mn |
| Mar 31, 2025 | 233.23 Mn |
| Dec 31, 2024 | 259.68 Mn |
| Sep 30, 2024 | 280.38 Mn |
| Jun 30, 2024 | 275.33 Mn |
| Mar 31, 2024 | 239.37 Mn |
| Dec 31, 2023 | 225.76 Mn |
| Sep 30, 2023 | 237.11 Mn |
| Jun 30, 2023 | 204.83 Mn |
| Mar 31, 2023 | 171.97 Mn |
| Dec 31, 2022 | 163.34 Mn |
| Sep 30, 2022 | 151.72 Mn |
| Jun 30, 2022 | 139.07 Mn |
| Mar 31, 2022 | 129.97 Mn |
| Dec 31, 2021 | 126.79 Mn |
| Sep 30, 2021 | 130.11 Mn |
API Access
Ameris Bancorp EBITDA 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=ebitda&ticker=ABCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ABCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();