Ameris Bancorp (ABCB) EBITDA Margin (2010 - 2026)
Ameris Bancorp (ABCB) posted EBITDA Margin of 56.54% for Q2 2026, down 32.13 percentage points from 88.66% a year earlier and down 24.28 percentage points from the prior quarter.
Ameris Bancorp (ABCB) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Ameris Bancorp was 76.05%, down 13.56 percentage points year-over-year; for FY2025, it was 84.52%, down 6.66 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +41.51 percentage points (FY2020 to FY2025).
- In prior years, Ameris Bancorp's EBITDA Margin was 91.19% in FY2024 (+11.67 pp), 79.52% in FY2023 (+23.44 pp), 56.08% in FY2022 (-0.55 pp) and 56.63% in FY2021 (+13.62 pp).
- The Q2 2026 figure stands as the lowest quarterly EBITDA Margin since Q3 2022.
- On a year-over-year basis, EBITDA Margin has declined in each of the last six quarters, with an average year-over-year change of -6.29 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q3 2023, with a gain of 33.36 percentage points; the weakest was Q2 2026, with a drop of 32.13 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 80.82% (Q1 2026), 84.71% (Q4 2025) and 83.06% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 941.10 Bn | 941.10 Bn | - | 97.78% |
| 2 | Bank Of America | 368.14 Bn | -2,007.97 Bn | - | 91.48% |
| 3 | Hsbc Holdings | 311.49 Bn | -1,792.10 Bn | - | - |
| 4 | Morgan Stanley | 300.45 Bn | -208.64 Bn | - | 101.52% |
| 5 | Royal Bank Of Canada | 295.40 Bn | -534.64 Bn | - | 139.87% |
| 6 | Goldman Sachs | 274.53 Bn | -3,468.92 Bn | - | 142.21% |
| 7 | Wells Fargo & Company | 263.46 Bn | 263.46 Bn | - | 92.97% |
| 8 | Mitsubishi Ufj Financial | 250.56 Bn | -90.83 Bn | 10.89 Bn | - |
| 9 | American Express | 223.87 Bn | 23.35 Bn | - | 34.61% |
| 10 | Ameris Bancorp | 5.64 Bn | 5.64 Bn | - | 56.54% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.54% |
| Mar 31, 2026 | 80.82% |
| Dec 31, 2025 | 84.71% |
| Sep 30, 2025 | 83.06% |
| Jun 30, 2025 | 88.66% |
| Mar 31, 2025 | 81.59% |
| Dec 31, 2024 | 89.30% |
| Sep 30, 2024 | 98.98% |
| Jun 30, 2024 | 91.75% |
| Mar 31, 2024 | 89.75% |
| Dec 31, 2023 | 86.24% |
| Sep 30, 2023 | 87.70% |
| Jun 30, 2023 | 74.16% |
| Mar 31, 2023 | 64.43% |
| Dec 31, 2022 | 61.23% |
| Sep 30, 2022 | 54.34% |
| Jun 30, 2022 | 50.35% |
| Mar 31, 2022 | 49.90% |
| Dec 31, 2021 | 52.39% |
| Sep 30, 2021 | 54.41% |
Ameris Bancorp EBITDA Margin 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-margin&ticker=ABCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=ABCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();