Frontdoor (FTDR) Return on Sales [ROS] (2017 - 2026)
Frontdoor (FTDR) recorded Return on Sales [ROS] of 31.01% in Q2 2026, up 1.19 percentage points from 29.82% a year earlier and up 12.16 percentage points from the prior quarter.
Frontdoor (FTDR) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a TTM basis, Frontdoor's Return on Sales [ROS] came in at 23.38% as of Jun 30, 2026, up 0.89 percentage points year-over-year; for FY2025, it was 21.40%, up 3.17 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, with a five-year change of +6.55 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 18.23% in FY2024 (+3.85 pp), 14.38% in FY2023 (+5.84 pp), 8.54% in FY2022 (-6.81 pp) and 15.36% in FY2021 (+0.50 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to Q3 2017.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +2.29 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 8.54 percentage points in Q2 2023, against a drop of 10.61 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 18.85% (Q1 2026), 9.01% (Q4 2025) and 28.80% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - | 11.89% |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - | 14.54% |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - | 21.55% |
| 10 | Frontdoor | 5.23 Bn | 2.87 Bn | 378.00 Mn | 31.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.01% |
| Mar 31, 2026 | 18.85% |
| Dec 31, 2025 | 9.01% |
| Sep 30, 2025 | 28.80% |
| Jun 30, 2025 | 29.82% |
| Mar 31, 2025 | 19.48% |
| Dec 31, 2024 | 6.81% |
| Sep 30, 2024 | 27.59% |
| Jun 30, 2024 | 25.46% |
| Mar 31, 2024 | 15.87% |
| Dec 31, 2023 | 6.83% |
| Sep 30, 2023 | 21.18% |
| Jun 30, 2023 | 20.65% |
| Mar 31, 2023 | 11.99% |
| Dec 31, 2022 | 7.35% |
| Sep 30, 2022 | 14.05% |
| Jun 30, 2022 | 12.11% |
| Mar 31, 2022 | 5.41% |
| Dec 31, 2021 | 5.90% |
| Sep 30, 2021 | 24.63% |
Frontdoor 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=FTDR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FTDR", "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=FTDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();