Equifax (EFX) Return on Sales [ROS] (2009 - 2026)
Equifax's Return on Sales [ROS] came in at 20.99% for Q3 2026, up 3.88 percentage points from 17.11% a year earlier and up 2.51 percentage points from the prior quarter.
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Analysis
Equifax (EFX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Equifax reported Return on Sales [ROS] of 18.83%, up 0.34 percentage points year-over-year; for FY2025, it came in at 18.03%, down 0.31 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1.64 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 18.34% in FY2024 (+0.61 pp), 17.73% in FY2023 (-2.88 pp), 20.62% in FY2022 (-2.50 pp) and 23.11% in FY2021 (+6.72 pp).
- The Q3 2026 figure represents the highest quarterly Return on Sales [ROS] since Q2 2022.
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +0.47 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 4.97 percentage points), and the weakest in Q1 2023 (a drop of 8.61 percentage points).
- Business Quant data shows EFX's Return on Sales [ROS] at 18.48% (Q2 2026), 17.45% (Q1 2026) and 18.33% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 56.29% |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 53.18% |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 44.78% |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 45.15% |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 20.99% |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 20.36% |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 24.68% |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 24.91% |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 59.77% |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 65.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.99% |
| Jun 30, 2026 | 18.48% |
| Mar 31, 2026 | 17.45% |
| Dec 31, 2025 | 18.33% |
| Sep 30, 2025 | 17.11% |
| Jun 30, 2025 | 20.22% |
| Mar 31, 2025 | 16.35% |
| Dec 31, 2024 | 20.30% |
| Sep 30, 2024 | 17.14% |
| Jun 30, 2024 | 19.73% |
| Mar 31, 2024 | 16.17% |
| Dec 31, 2023 | 18.48% |
| Sep 30, 2023 | 18.68% |
| Jun 30, 2023 | 17.98% |
| Mar 31, 2023 | 15.78% |
| Dec 31, 2022 | 14.69% |
| Sep 30, 2022 | 19.52% |
| Jun 30, 2022 | 23.13% |
| Mar 31, 2022 | 24.38% |
| Dec 31, 2021 | 20.12% |
API Access
Equifax 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=EFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EFX", "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=EFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();