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 13.51 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 +41.69 percentage points (FY2020 to FY2025).
- In prior years, Ameris Bancorp's EBITDA Margin was 91.19% in FY2024 (+11.85 pp), 79.34% in FY2023 (+23.44 pp), 55.89% in FY2022 (-0.54 pp) and 56.43% in FY2021 (+13.60 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 -6.20 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 33.00 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 | 879.54 Bn | 909.01 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 92.35% |
| 10 | Ameris Bancorp | 5.34 Bn | 5.34 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 | 98.81% |
| Jun 30, 2024 | 91.59% |
| Mar 31, 2024 | 89.56% |
| Dec 31, 2023 | 86.05% |
| Sep 30, 2023 | 87.51% |
| Jun 30, 2023 | 73.98% |
| Mar 31, 2023 | 64.24% |
| Dec 31, 2022 | 59.94% |
| Sep 30, 2022 | 54.52% |
| Jun 30, 2022 | 50.53% |
| Mar 31, 2022 | 50.09% |
| Dec 31, 2021 | 51.00% |
| Sep 30, 2021 | 54.62% |
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();