Brighthouse Financial (BHF) Return on Sales [ROS] (2016 - 2026)
Brighthouse Financial (BHF) posted Return on Sales [ROS] of 33.54% for Q2 2026, up 104.49 percentage points from -70.95% a year earlier and up 139.83 percentage points from the prior quarter.
Brighthouse Financial (BHF) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Brighthouse Financial was -19.43%, up 0.36 percentage points year-over-year; for FY2025, it was -19.67%, up 19.96 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +64.18 percentage points (FY2020 to FY2025).
- In prior years, Brighthouse Financial's Return on Sales [ROS] was -39.63% in FY2024 (+61.17 pp), -100.80% in FY2023 (-137.74 pp), 36.94% in FY2022 (+51.75 pp) and -14.81% in FY2021 (+69.04 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q2 2022.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +111.30 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 2205.01 percentage points; the weakest was Q1 2024, with a drop of 615.44 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -106.29% (Q1 2026), -32.39% (Q4 2025) and 18.34% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 11.89% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 14.54% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 21.55% |
| 10 | Brighthouse Financial | 2.88 Bn | -25.23 Bn | 1.03 Bn | 33.54% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.54% |
| Mar 31, 2026 | -106.29% |
| Dec 31, 2025 | -32.39% |
| Sep 30, 2025 | 18.34% |
| Jun 30, 2025 | -70.95% |
| Mar 31, 2025 | -41.97% |
| Dec 31, 2024 | 14.27% |
| Sep 30, 2024 | 8.23% |
| Jun 30, 2024 | -44.01% |
| Mar 31, 2024 | -719.80% |
| Dec 31, 2023 | -134.57% |
| Sep 30, 2023 | -78.80% |
| Jun 30, 2023 | -352.85% |
| Mar 31, 2023 | -104.36% |
| Dec 31, 2022 | 21.26% |
| Sep 30, 2022 | -1.96% |
| Jun 30, 2022 | 37.77% |
| Mar 31, 2022 | 65.97% |
| Dec 31, 2021 | -14.81% |
| Sep 30, 2021 | -24.76% |
Brighthouse Financial 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=BHF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BHF", "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=BHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();