Rli (RLI) Return on Sales [ROS] (2009 - 2026)
Rli (RLI) recorded Return on Sales [ROS] of -20.57% in Q3 2026, down 14.23 percentage points from -6.34% a year earlier and down 23.67 percentage points from the prior quarter.
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Analysis
Rli (RLI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Rli's Return on Sales [ROS] came in at -13.38% as of Sep 30, 2026, up 4.40 percentage points year-over-year; for FY2025, it came in at -11.48%, up 5.85 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -31.55 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -17.33% in FY2024 (-1.67 pp), -15.66% in FY2023 (-27.23 pp), 11.57% in FY2022 (-18.28 pp) and 29.85% in FY2021 (+9.78 pp).
- Quarterly Return on Sales [ROS] has ranged from -53.14% in Q3 2023 to 64.77% in Q3 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -3.22 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 50.97 percentage points in Q3 2022, against a drop of 117.92 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 3.10% (Q2 2026), -30.21% (Q1 2026) and -11.07% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -32.86% |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 22.27% |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 14.33% |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 17.70% |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 20.04% |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 7.83% |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 17.18% |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 19.73% |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | -3.13% |
| 10 | Rli | 6.32 Bn | 2.47 Bn | 275.62 Mn | -20.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -20.57% |
| Jun 30, 2026 | 3.10% |
| Mar 31, 2026 | -30.21% |
| Dec 31, 2025 | -11.07% |
| Sep 30, 2025 | 30.84% |
| Jun 30, 2025 | 31.09% |
| Mar 31, 2025 | -24.94% |
| Dec 31, 2024 | -37.70% |
| Sep 30, 2024 | 24.94% |
| Jun 30, 2024 | 24.80% |
| Mar 31, 2024 | 2.56% |
| Dec 31, 2023 | -1.26% |
| Sep 30, 2023 | -53.14% |
| Jun 30, 2023 | -891.03% |
| Mar 31, 2023 | 1.20% |
| Dec 31, 2022 | -5.17% |
| Sep 30, 2022 | 47.35% |
| Jun 30, 2022 | -1,790.50% |
| Mar 31, 2022 | -19.10% |
| Dec 31, 2021 | 2.58% |
API Access
Rli 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=RLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RLI", "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=RLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();