TransUnion (TRU) Return on Sales [ROS] (2012 - 2026)
TransUnion (TRU) recorded Return on Sales [ROS] of 20.36% in Q3 2026, up 2.61 percentage points from 17.75% a year earlier and up 0.66 percentage points from the prior quarter.
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Analysis
TransUnion (TRU) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
On a TTM basis, TransUnion's Return on Sales [ROS] came in at 19.32% as of Sep 30, 2026, up 0.75 percentage points year-over-year; for FY2025, it came in at 18.74%, up 2.81 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -1.03 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 15.94% in FY2024 (+12.58 pp), 3.35% in FY2023 (-13.53 pp), 16.88% in FY2022 (-5.14 pp) and 22.02% in FY2021 (+2.25 pp).
- The Q3 2026 figure is the highest quarterly Return on Sales [ROS] since Q1 2025.
- 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 +2.92 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 38.81 percentage points in Q3 2024, against a drop of 42.46 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 19.70% (Q2 2026), 19.65% (Q1 2026) and 17.38% (Q4 2025).
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 | 20.36% |
| Jun 30, 2026 | 19.70% |
| Mar 31, 2026 | 19.65% |
| Dec 31, 2025 | 17.38% |
| Sep 30, 2025 | 17.75% |
| Jun 30, 2025 | 16.86% |
| Mar 31, 2025 | 23.22% |
| Dec 31, 2024 | 16.47% |
| Sep 30, 2024 | 14.41% |
| Jun 30, 2024 | 17.52% |
| Mar 31, 2024 | 15.39% |
| Dec 31, 2023 | 6.42% |
| Sep 30, 2023 | -24.39% |
| Jun 30, 2023 | 16.36% |
| Mar 31, 2023 | 15.44% |
| Dec 31, 2022 | 15.91% |
| Sep 30, 2022 | 18.07% |
| Jun 30, 2022 | 18.87% |
| Mar 31, 2022 | 14.59% |
| Dec 31, 2021 | 14.43% |
API Access
TransUnion 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=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TRU", "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=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();