TransUnion (TRU) Cash from Operations (2010 - 2026)
TransUnion's Cash from Operations was $429.5 million in Q3 2026, up 32.4% from $324.3 million a year earlier and up 14.6% from the prior quarter.
TransUnion (TRU) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, TransUnion's Cash from Operations was $1.21 billion through Sep 30, 2026, up 31.0% year-over-year; for FY2025, it was $987.6 million, up 18.6% from FY2024.
- Cash from Operations has now increased for three consecutive years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $832.5 million in FY2024 (+28.9%), $645.6 million in FY2023 (+114.5%), $301 million in FY2022 (-62.8%) and $808.3 million in FY2021 (+2.6%).
- The Q3 2026 figure marks the highest quarterly Cash from Operations in data going back to Q3 2010.
- Compared with a year earlier, Cash from Operations has increased for five straight quarters, with growth averaging 26.3% over the last eight quarters.
- The best year-over-year quarter for Cash from Operations over five years was Q1 2023 (growth of 567.2%); the worst was Q1 2022 (a decline of 92.0%).
- Per Business Quant data, TRU's Cash from Operations in the three quarters before Q3 2026 was $374.9 million (Q2 2026), $84.2 million (Q1 2026) and $319.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 1.19 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 753.00 Mn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 436.10 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 366.00 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 560.40 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 429.50 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 204.71 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 190.70 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 5.09 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 1.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 429.50 Mn |
| Jun 30, 2026 | 374.90 Mn |
| Mar 31, 2026 | 84.20 Mn |
| Dec 31, 2025 | 319.50 Mn |
| Sep 30, 2025 | 324.30 Mn |
| Jun 30, 2025 | 291.30 Mn |
| Mar 31, 2025 | 52.50 Mn |
| Dec 31, 2024 | 254.00 Mn |
| Sep 30, 2024 | 229.30 Mn |
| Jun 30, 2024 | 295.20 Mn |
| Mar 31, 2024 | 54.00 Mn |
| Dec 31, 2023 | 201.80 Mn |
| Sep 30, 2023 | 150.90 Mn |
| Jun 30, 2023 | 215.50 Mn |
| Mar 31, 2023 | 77.40 Mn |
| Dec 31, 2022 | 230.20 Mn |
| Sep 30, 2022 | 186.20 Mn |
| Jun 30, 2022 | -127.00 Mn |
| Mar 31, 2022 | 11.60 Mn |
| Dec 31, 2021 | 148.10 Mn |
TransUnion Cash from Operations 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=cash-from-operations&ticker=TRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();