Allstate (ALL) Return on Sales [ROS] (2009 - 2026)
Allstate's Return on Sales [ROS] was -30.76% in Q2 2026, up 19.96 percentage points from -50.72% a year earlier and up 5.11 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 -27.33% through Jun 30, 2026, up 24.17 percentage points year-over-year; for FY2025, it was -38.27%, up 14.73 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, though with a five-year change of -56.78 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -53.00% in FY2024 (+19.55 pp), -72.54% in FY2023 (+3.50 pp), -76.04% in FY2022 (-89.47 pp) and 13.43% in FY2021 (-5.08 pp).
- Quarterly Return on Sales [ROS] has moved between -96.39% (Q2 2023) and 11.49% (Q4 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +15.88 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2024 (a gain of 30.40 percentage points); the worst was Q2 2023 (a drop of 86.34 percentage points).
- Per Business Quant data, ALL's Return on Sales [ROS] in the three quarters before Q2 2026 was -35.87% (Q1 2026), -16.22% (Q4 2025) and -26.40% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.30 Bn | 80.89 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 130.32 Bn | 106.15 Bn | 9.04 Bn | -43.89% |
| 3 | Marsh & Mclennan Companies | 85.17 Bn | 76.66 Bn | - | 25.65% |
| 4 | Travelers Companies | 78.40 Bn | 54.65 Bn | 6.23 Bn | -25.96% |
| 5 | Manulife Financial | 73.81 Bn | -21.07 Bn | - | 11.89% |
| 6 | Metlife | 64.41 Bn | -42.37 Bn | 7.82 Bn | -53.77% |
| 7 | Allstate | 60.46 Bn | 21.73 Bn | 8.73 Bn | -30.76% |
| 8 | Arthur J. Gallagher | 60.04 Bn | 54.44 Bn | - | 14.54% |
| 9 | Aon | 58.69 Bn | 51.91 Bn | - | 21.55% |
| 10 | Aflac | 58.66 Bn | 33.88 Bn | 2.27 Bn | -20.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -30.76% |
| Mar 31, 2026 | -35.87% |
| Dec 31, 2025 | -16.22% |
| Sep 30, 2025 | -26.40% |
| Jun 30, 2025 | -50.72% |
| Mar 31, 2025 | -61.37% |
| Dec 31, 2024 | -39.83% |
| Sep 30, 2024 | -54.07% |
| Jun 30, 2024 | -66.00% |
| Mar 31, 2024 | -52.67% |
| Dec 31, 2023 | -46.88% |
| Sep 30, 2023 | -70.76% |
| Jun 30, 2023 | -96.39% |
| 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% |
| Sep 30, 2021 | 2.43% |
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();