Loews (L) Operating Margin (2009 - 2026)
Loews (L) recorded Operating Margin of -32.89% in 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) Operating Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Loews' Operating Margin came in at -33.28% as of Jun 30, 2026, up 1.99 percentage points year-over-year; for FY2025, it came in at -32.57%, up 0.92 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +28.10 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at -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 Operating Margin has ranged from -55.04% in Q3 2022 to -27.84% in Q1 2024 over the past five years.
- On a year-over-year basis, Operating Margin rose in four of the last eight quarters, with an average year-over-year change of -0.95 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 17.60 percentage points in Q3 2023, against a drop of 26.98 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 141.90 Bn | 87.54 Bn | 8.67 Bn | 22.27% |
| 2 | Progressive | 133.73 Bn | 109.56 Bn | 9.04 Bn | 18.20% |
| 3 | Marsh & Mclennan Companies | 97.17 Bn | 89.33 Bn | - | 17.70% |
| 4 | Travelers Companies | 83.40 Bn | 59.65 Bn | 6.23 Bn | 23.70% |
| 5 | Manulife Financial | 76.33 Bn | -18.55 Bn | - | - |
| 6 | Aon | 70.17 Bn | 49.37 Bn | - | 19.73% |
| 7 | Arthur J. Gallagher | 70.09 Bn | 70.09 Bn | - | - |
| 8 | Allstate | 67.11 Bn | 28.38 Bn | 8.73 Bn | 22.79% |
| 9 | Metlife | 64.69 Bn | -42.09 Bn | 7.82 Bn | 21.42% |
| 10 | Loews | 22.70 Bn | 404.64 Mn | 2.57 Bn | 15.10% |
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 | -837.92% |
API Access
Loews Operating Margin 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=operating-margin&ticker=L&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=L&period=max&api_key=YOUR_API_KEY");
const data = await res.json();