Metlife (MET) Return on Sales [ROS] (2009 - 2026)
Metlife's Return on Sales [ROS] came in at -53.77% for Q2 2026, up 2.67 percentage points from -56.44% a year earlier and up 0.52 percentage points from the prior quarter.
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Analysis
Metlife (MET) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Metlife reported Return on Sales [ROS] of -57.27%, down 2.44 percentage points year-over-year; for FY2025, it came in at -58.45%, down 3.36 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -7.55 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -55.09% in FY2024 (+8.33 pp), -63.42% in FY2023 (-0.68 pp), -62.74% in FY2022 (-12.37 pp) and -50.37% in FY2021 (+0.54 pp).
- The five-year range for quarterly Return on Sales [ROS] is -72.65% (Q3 2022) to -45.42% (Q4 2022).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +1.39 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2024 (a gain of 20.13 percentage points), and the weakest in Q2 2022 (a drop of 42.13 percentage points).
- Business Quant data shows MET's Return on Sales [ROS] at -54.30% (Q1 2026), -65.76% (Q4 2025) and -52.76% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.22 Bn | 84.80 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 131.98 Bn | 107.81 Bn | 9.04 Bn | -43.89% |
| 3 | Marsh & Mclennan Companies | 93.93 Bn | 86.09 Bn | - | 17.70% |
| 4 | Travelers Companies | 84.15 Bn | 60.40 Bn | 6.23 Bn | -25.96% |
| 5 | Manulife Financial | 75.58 Bn | -19.30 Bn | - | 11.89% |
| 6 | Arthur J. Gallagher | 68.94 Bn | 63.35 Bn | - | 14.54% |
| 7 | Allstate | 64.87 Bn | 26.14 Bn | 8.73 Bn | -30.76% |
| 8 | Metlife | 64.66 Bn | -42.12 Bn | 7.82 Bn | -53.77% |
| 9 | Aon | 64.56 Bn | 57.78 Bn | - | 21.55% |
| 10 | Aflac | 60.91 Bn | 36.13 Bn | 2.27 Bn | -20.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -53.77% |
| Mar 31, 2026 | -54.30% |
| Dec 31, 2025 | -65.76% |
| Sep 30, 2025 | -52.76% |
| Jun 30, 2025 | -56.44% |
| Mar 31, 2025 | -56.29% |
| Dec 31, 2024 | -59.95% |
| Sep 30, 2024 | -46.65% |
| Jun 30, 2024 | -57.70% |
| Mar 31, 2024 | -56.23% |
| Dec 31, 2023 | -56.96% |
| Sep 30, 2023 | -66.78% |
| Jun 30, 2023 | -68.45% |
| Mar 31, 2023 | -62.48% |
| Dec 31, 2022 | -45.42% |
| Sep 30, 2022 | -72.65% |
| Jun 30, 2022 | -68.68% |
| Mar 31, 2022 | -59.97% |
| Dec 31, 2021 | -64.33% |
| Sep 30, 2021 | -47.68% |
API Access
Metlife 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=MET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MET", "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=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();