Assurant (AIZ) Return on Sales [ROS] (2009 - 2026)
Assurant (AIZ) posted Return on Sales [ROS] of -10.75% for Q2 2026, up 2.94 percentage points from -13.69% a year earlier and up 1.92 percentage points from the prior quarter.
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Analysis
Assurant (AIZ) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Assurant was -12.02%, up 4.84 percentage points year-over-year; for FY2025, it came in at -14.36%, up 1.12 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +3.32 percentage points (FY2020 to FY2025).
- In prior years, Assurant's Return on Sales [ROS] was -15.48% in FY2024 (-0.08 pp), -15.41% in FY2023 (+4.31 pp), -19.72% in FY2022 (-5.68 pp) and -14.04% in FY2021 (+3.64 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q4 2019.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last five quarters, with an average year-over-year change of +0.84 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 10.99 percentage points; the weakest was Q3 2022, with a drop of 9.71 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -12.68% (Q1 2026), -12.94% (Q4 2025) and -11.71% (Q3 2025).
Peer Set
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 | Assurant | 13.21 Bn | 4.98 Bn | 2.71 Bn | -10.75% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.75% |
| Mar 31, 2026 | -12.68% |
| Dec 31, 2025 | -12.94% |
| Sep 30, 2025 | -11.71% |
| Jun 30, 2025 | -13.69% |
| Mar 31, 2025 | -19.39% |
| Dec 31, 2024 | -13.54% |
| Sep 30, 2024 | -21.07% |
| Jun 30, 2024 | -15.84% |
| Mar 31, 2024 | -11.46% |
| Dec 31, 2023 | -12.49% |
| Sep 30, 2023 | -14.99% |
| Jun 30, 2023 | -15.68% |
| Mar 31, 2023 | -18.86% |
| Dec 31, 2022 | -18.96% |
| Sep 30, 2022 | -25.98% |
| Jun 30, 2022 | -21.12% |
| Mar 31, 2022 | -12.68% |
| Dec 31, 2021 | -13.95% |
| Sep 30, 2021 | -16.27% |
API Access
Assurant 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=AIZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AIZ", "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=AIZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();