Fidelity National Financial (FNF) Return on Sales [ROS] (2009 - 2026)
Fidelity National Financial (FNF) posted Return on Sales [ROS] of 6.42% for Q2 2026, down 2.28 percentage points from 8.69% a year earlier and down 7.10 percentage points from the prior quarter.
Fidelity National Financial (FNF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Fidelity National Financial was 9.49%, up 0.65 percentage points year-over-year; for FY2025, it was 7.86%, down 3.18 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -9.53 percentage points (FY2020 to FY2025).
- In prior years, Fidelity National Financial's Return on Sales [ROS] was 11.04% in FY2024 (+6.90 pp), 4.14% in FY2023 (-8.16 pp), 12.30% in FY2022 (+1.91 pp) and 10.39% in FY2021 (-7.00 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +0.54 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2024, with a gain of 44.45 percentage points; the weakest was Q1 2023, with a drop of 54.32 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 13.52% (Q1 2026), 9.36% (Q4 2025) and 9.50% (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 | Fidelity National Financial | 10.52 Bn | -6.53 Bn | 3.97 Bn | 6.42% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.42% |
| Mar 31, 2026 | 13.52% |
| Dec 31, 2025 | 9.36% |
| Sep 30, 2025 | 9.50% |
| Jun 30, 2025 | 8.69% |
| Mar 31, 2025 | 2.09% |
| Dec 31, 2024 | 15.91% |
| Sep 30, 2024 | 6.99% |
| Jun 30, 2024 | 12.57% |
| Mar 31, 2024 | 8.64% |
| Dec 31, 2023 | -6.35% |
| Sep 30, 2023 | 19.65% |
| Jun 30, 2023 | 9.00% |
| Mar 31, 2023 | -35.81% |
| Dec 31, 2022 | 1.10% |
| Sep 30, 2022 | -2.09% |
| Jun 30, 2022 | 13.43% |
| Mar 31, 2022 | 18.50% |
| Dec 31, 2021 | 24.81% |
| Sep 30, 2021 | 24.49% |
Fidelity National 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=FNF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FNF", "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=FNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();