TransUnion (TRU) Cash from Operations (2012 - 2026)
TransUnion's Cash from Operations was $374.9 million in Q2 2026, up 28.7% from $291.3 million a year earlier and up 345.2% from the prior quarter.
TransUnion (TRU) Cash from Operations (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, TransUnion's Cash from Operations was $1.1 billion through Jun 30, 2026, up 33.3% 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 Q2 2026 figure marks the highest quarterly Cash from Operations in data going back to Q1 2012.
- Compared with a year earlier, Cash from Operations has increased for four straight quarters, with growth averaging 28.8% 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 Q2 2026 was $84.2 million (Q1 2026), $319.5 million (Q4 2025) and $324.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 1.44 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 779.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 370.80 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 366.00 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 339.80 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 374.90 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 284.52 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 155.70 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 3.77 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 947.10 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 279.70 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();