Loews (L) Return on Sales [ROS] (2009 - 2026)
Loews (L) posted Return on Sales [ROS] of 10.65% for Q3 2026, down 6.49 percentage points from 17.15% a year earlier and down 4.45 percentage points from the prior quarter.
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Analysis
Loews (L) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Loews was 13.06%, up 0.11 percentage points year-over-year; for FY2025, it came in at 14.74%, up 1.52 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +568.14 percentage points (FY2020 to FY2025).
- In prior years, Loews' Return on Sales [ROS] was 13.22% in FY2024 (-1.70 pp), 14.92% in FY2023 (+4.29 pp), 10.62% in FY2022 (-7.01 pp) and 17.63% in FY2021 (+571.03 pp).
- The Q3 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -1.39 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 494.35 percentage points; the weakest was Q4 2024, with a drop of 10.10 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 15.10% (Q2 2026), 12.65% (Q1 2026) and 13.81% (Q4 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 | Loews | 22.46 Bn | -168.87 Mn | 2.41 Bn | 10.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.65% |
| Jun 30, 2026 | 15.10% |
| Mar 31, 2026 | 12.65% |
| Dec 31, 2025 | 13.81% |
| Sep 30, 2025 | 17.15% |
| Jun 30, 2025 | 14.18% |
| Mar 31, 2025 | 13.77% |
| Dec 31, 2024 | 6.56% |
| Sep 30, 2024 | 14.87% |
| Jun 30, 2024 | 14.55% |
| Mar 31, 2024 | 17.30% |
| Dec 31, 2023 | 16.65% |
| Sep 30, 2023 | 11.46% |
| Jun 30, 2023 | 15.23% |
| Mar 31, 2023 | 16.23% |
| Dec 31, 2022 | 14.74% |
| Sep 30, 2022 | 1.94% |
| Jun 30, 2022 | 9.77% |
| Mar 31, 2022 | 15.73% |
| Dec 31, 2021 | 14.67% |
API Access
Loews 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=L&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "L", "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=L&period=max&api_key=YOUR_API_KEY");
const data = await res.json();