Allstate (ALL) Return on Sales [ROS] (2009 - 2026)
Allstate's Return on Sales [ROS] was 22.79% in Q2 2026, up 73.51 percentage points from -50.72% a year earlier and up 3.87 percentage points from the prior quarter.
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Analysis
Allstate (ALL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Allstate's Return on Sales [ROS] was 11.28% through Jun 30, 2026, up 16.63 percentage points year-over-year; for FY2025, it was -38.27%, down 47.88 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -56.78 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 9.61% in FY2024 (+9.56 pp), 0.05% in FY2023 (+2.96 pp), -2.91% in FY2022 (-16.34 pp) and 13.43% in FY2021 (-5.08 pp).
- Quarterly Return on Sales [ROS] has moved between -50.72% (Q2 2025) and 28.94% (Q4 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of +2.15 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2026 (a gain of 73.51 percentage points); the worst was Q2 2025 (a drop of 54.08 percentage points).
- Per Business Quant data, ALL's Return on Sales [ROS] in the three quarters before Q2 2026 was 18.92% (Q1 2026), 28.94% (Q4 2025) and -26.40% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | 22.27% |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | 14.33% |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | 17.70% |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | 20.04% |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | 7.83% |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | 17.18% |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | 19.73% |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | 15.64% |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | 21.42% |
| 10 | Aflac | 61.62 Bn | 37.98 Bn | 1.87 Bn | -27.42% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.64% |
| Jun 30, 2026 | 22.79% |
| Mar 31, 2026 | 18.92% |
| Dec 31, 2025 | 28.94% |
| Sep 30, 2025 | -26.40% |
| Jun 30, 2025 | -50.72% |
| Mar 31, 2025 | 4.98% |
| Dec 31, 2024 | 15.45% |
| Sep 30, 2024 | 9.15% |
| Jun 30, 2024 | 3.36% |
| Mar 31, 2024 | 10.23% |
| Dec 31, 2023 | 13.04% |
| Sep 30, 2023 | 0.46% |
| Jun 30, 2023 | -11.80% |
| Mar 31, 2023 | -2.32% |
| Dec 31, 2022 | -2.39% |
| Sep 30, 2022 | -6.25% |
| Jun 30, 2022 | -10.05% |
| Mar 31, 2022 | 7.17% |
| Dec 31, 2021 | 11.49% |
API Access
Allstate 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=ALL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ALL", "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=ALL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();