Amerisafe (AMSF) Return on Sales [ROS] (2010 - 2026)
Amerisafe's Return on Sales [ROS] came in at -32.70% for Q2 2026, down 4.08 percentage points from -28.62% a year earlier but up 12.60 percentage points from the prior quarter.
Amerisafe (AMSF) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Amerisafe reported Return on Sales [ROS] of -37.33%, down 6.58 percentage points year-over-year; for FY2025, it came in at -35.02%, down 6.47 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -20.20 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -28.54% in FY2024 (-5.44 pp), -23.10% in FY2023 (+5.63 pp), -28.73% in FY2022 (-2.98 pp) and -25.75% in FY2021 (-10.93 pp).
- The five-year range for quarterly Return on Sales [ROS] is -73.06% (Q4 2021) to -6.76% (Q3 2021).
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -5.12 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2022 (a gain of 59.43 percentage points), and the weakest in Q4 2021 (a drop of 72.33 percentage points).
- Business Quant data shows AMSF's Return on Sales [ROS] at -45.30% (Q1 2026), -42.58% (Q4 2025) and -29.52% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 11.89% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 14.54% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 21.55% |
| 10 | Amerisafe | 437.27 Mn | -12.96 Mn | 43.63 Mn | -32.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.70% |
| Mar 31, 2026 | -45.30% |
| Dec 31, 2025 | -42.58% |
| Sep 30, 2025 | -29.52% |
| Jun 30, 2025 | -28.62% |
| Mar 31, 2025 | -39.86% |
| Dec 31, 2024 | -28.00% |
| Sep 30, 2024 | -27.14% |
| Jun 30, 2024 | -35.45% |
| Mar 31, 2024 | -23.91% |
| Dec 31, 2023 | -15.61% |
| Sep 30, 2023 | -34.18% |
| Jun 30, 2023 | -21.25% |
| Mar 31, 2023 | -22.28% |
| Dec 31, 2022 | -13.63% |
| Sep 30, 2022 | -34.01% |
| Jun 30, 2022 | -44.05% |
| Mar 31, 2022 | -21.60% |
| Dec 31, 2021 | -73.06% |
| Sep 30, 2021 | -6.76% |
Amerisafe 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=AMSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AMSF", "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=AMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();