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 | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -32.86% |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 22.27% |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 14.33% |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 17.70% |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 20.04% |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 7.83% |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 17.18% |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 19.73% |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | -3.13% |
| 10 | Fidelity National Financial | 11.84 Bn | -4.22 Bn | 3.50 Bn | 36.47% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.47% |
| Jun 30, 2026 | 9.85% |
| Mar 31, 2026 | 17.33% |
| Dec 31, 2025 | 12.64% |
| Sep 30, 2025 | 12.73% |
| Jun 30, 2025 | 12.19% |
| Mar 31, 2025 | 6.27% |
| Dec 31, 2024 | 19.25% |
| Sep 30, 2024 | 10.24% |
| Jun 30, 2024 | 15.99% |
| Mar 31, 2024 | 11.52% |
| Dec 31, 2023 | -3.58% |
| Sep 30, 2023 | 23.29% |
| Jun 30, 2023 | 12.22% |
| Mar 31, 2023 | -1.29% |
| Dec 31, 2022 | 1.10% |
| Sep 30, 2022 | 16.56% |
| Jun 30, 2022 | 28.92% |
| Mar 31, 2022 | 18.50% |
| Dec 31, 2021 | 24.81% |
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_KEY
import 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();