Ameris Bancorp (ABCB) Return on Sales [ROS] (2010 - 2026)
Ameris Bancorp (ABCB) recorded Return on Sales [ROS] of 54.95% in Q2 2026, down 31.02 percentage points from 85.96% a year earlier and down 23.96 percentage points from the prior quarter.
Ameris Bancorp (ABCB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Ameris Bancorp's Return on Sales [ROS] came in at 74.12% as of Jun 30, 2026, down 12.08 percentage points year-over-year; for FY2025, it came in at 82.07%, down 5.90 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +42.50 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 87.97% in FY2024 (+13.53 pp), 74.44% in FY2023 (+24.14 pp), 50.30% in FY2022 (-2.98 pp) and 53.28% in FY2021 (+13.71 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q3 2022.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -5.09 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 32.93 percentage points in Q3 2023, against a drop of 31.02 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 78.91% (Q1 2026), 82.65% (Q4 2025) and 80.87% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Ameris Bancorp | 5.39 Bn | 5.39 Bn | - | 54.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.95% |
| Mar 31, 2026 | 78.91% |
| Dec 31, 2025 | 82.65% |
| Sep 30, 2025 | 80.87% |
| Jun 30, 2025 | 85.96% |
| Mar 31, 2025 | 78.67% |
| Dec 31, 2024 | 86.17% |
| Sep 30, 2024 | 94.08% |
| Jun 30, 2024 | 87.12% |
| Mar 31, 2024 | 84.38% |
| Dec 31, 2023 | 82.52% |
| Sep 30, 2023 | 84.09% |
| Jun 30, 2023 | 70.56% |
| Mar 31, 2023 | 60.75% |
| Dec 31, 2022 | 56.53% |
| Sep 30, 2022 | 51.17% |
| Jun 30, 2022 | 46.98% |
| Mar 31, 2022 | 46.34% |
| Dec 31, 2021 | 47.87% |
| Sep 30, 2021 | 51.25% |
Ameris Bancorp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ABCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ABCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();