First American Financial (FAF) Return on Sales [ROS] (2009 - 2026)
First American Financial (FAF) recorded Return on Sales [ROS] of 13.14% in Q3 2026, down 1.35 percentage points from 14.50% a year earlier and down 2.42 percentage points from the prior quarter.
First American Financial (FAF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, First American Financial's Return on Sales [ROS] came in at 14.07% as of Sep 30, 2026, up 2.85 percentage points year-over-year; for FY2025, it came in at 157.54%, up 101.71 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -278.02 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 55.83% in FY2024 (-15.18 pp), 71.01% in FY2023 (-51.02 pp), 122.03% in FY2022 (-665.15 pp) and 787.18% in FY2021 (+351.63 pp).
- Quarterly Return on Sales [ROS] has ranged from -7.70% in Q3 2024 to 16.16% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of +5.07 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 22.19 percentage points in Q3 2025, against a drop of 23.23 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 15.57% (Q2 2026), 11.08% (Q1 2026) and 16.16% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | 22.27% |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | 14.33% |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | 17.70% |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | 20.04% |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | 7.83% |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | 17.18% |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | 19.73% |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | 15.64% |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | 21.42% |
| 10 | First American Financial | 6.87 Bn | -3.26 Bn | - | 13.14% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.14% |
| Jun 30, 2026 | 15.57% |
| Mar 31, 2026 | 11.08% |
| Dec 31, 2025 | 16.16% |
| Sep 30, 2025 | 14.50% |
| Jun 30, 2025 | 12.66% |
| Mar 31, 2025 | 8.33% |
| Dec 31, 2024 | 8.52% |
| Sep 30, 2024 | -7.70% |
| Jun 30, 2024 | 11.60% |
| Mar 31, 2024 | 6.50% |
| Dec 31, 2023 | 5.02% |
| Sep 30, 2023 | 2.30% |
| Jun 30, 2023 | 12.90% |
| Mar 31, 2023 | 6.13% |
| Dec 31, 2022 | 5.18% |
| Sep 30, 2022 | 1.14% |
| Jun 30, 2022 | 7.81% |
| Mar 31, 2022 | 7.35% |
| Dec 31, 2021 | 14.86% |
First American 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=FAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FAF", "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=FAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();