Loews (L) Return on Sales [ROS] (2009 - 2026)
Loews (L) posted Return on Sales [ROS] of -32.89% for Q2 2026, up 1.05 percentage points from -33.94% a year earlier and up 4.70 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 Jun 30, 2026, Return on Sales [ROS] at Loews was -33.28%, up 1.99 percentage points year-over-year; for FY2025, it came in at -32.57%, up 0.92 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +28.10 percentage points (FY2020 to FY2025).
- In prior years, Loews' Return on Sales [ROS] was -33.49% in FY2024 (-1.59 pp), -31.90% in FY2023 (+7.54 pp), -39.44% in FY2022 (-10.71 pp) and -28.73% in FY2021 (+31.94 pp).
- Quarterly Return on Sales [ROS] has run from a low of -55.04% in Q3 2022 to a high of -27.84% in Q1 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -0.95 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 17.60 percentage points; the weakest was Q2 2022, with a drop of 26.98 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -37.59% (Q1 2026), -33.99% (Q4 2025) and -28.75% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn | -43.89% |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - | 25.65% |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | -25.96% |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - | 11.89% |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn | -53.77% |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn | -30.76% |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - | 14.54% |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn | -20.82% |
| 10 | Loews | 22.32 Bn | 18.30 Mn | 2.57 Bn | -32.89% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.89% |
| Mar 31, 2026 | -37.59% |
| Dec 31, 2025 | -33.99% |
| Sep 30, 2025 | -28.75% |
| Jun 30, 2025 | -33.94% |
| Mar 31, 2025 | -33.67% |
| Dec 31, 2024 | -40.52% |
| Sep 30, 2024 | -32.89% |
| Jun 30, 2024 | -32.22% |
| Mar 31, 2024 | -27.84% |
| Dec 31, 2023 | -28.11% |
| Sep 30, 2023 | -37.44% |
| Jun 30, 2023 | -32.31% |
| Mar 31, 2023 | -29.98% |
| Dec 31, 2022 | -32.40% |
| Sep 30, 2022 | -55.04% |
| Jun 30, 2022 | -40.32% |
| Mar 31, 2022 | -30.54% |
| Dec 31, 2021 | -34.14% |
| Sep 30, 2021 | -39.39% |
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();