TransUnion (TRU) Cash & Equivalents (2010 - 2026)
TransUnion's Cash & Equivalents came in at $839.1 million for Q2 2026, up 22.1% from $687.5 million a year earlier and up 14.6% from the prior quarter.
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Analysis
TransUnion (TRU) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, TransUnion's Cash & Equivalents was $853.6 million, up 25.6% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $679.5 million in FY2024 (+42.7%), $476.2 million in FY2023 (-18.6%), $585.3 million in FY2022 (-68.2%) and $1.84 billion in FY2021 (+273.9%).
- The five-year range for quarterly Cash & Equivalents is $420.9 million (Q3 2023) to $1.84 billion (Q4 2021).
- Year-over-year, Cash & Equivalents has increased for nine consecutive quarters, with growth averaging 30.9% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2021 (growth of 273.9%), and the weakest in Q4 2022 (a decline of 68.2%).
- Business Quant data shows TRU's Cash & Equivalents at $732.5 million (Q1 2026), $853.6 million (Q4 2025) and $749.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 132.72 Bn | 128.33 Bn | 2.98 Bn | 4.13 Bn |
| 2 | Moodys | 83.35 Bn | 76.42 Bn | 1.50 Bn | 1.51 Bn |
| 3 | Msci | 44.14 Bn | 42.62 Bn | 739.80 Mn | 261.00 Mn |
| 4 | Verisk Analytics | 25.49 Bn | 20.13 Bn | 572.90 Mn | 551.40 Mn |
| 5 | Equifax | 21.35 Bn | 20.74 Bn | 940.10 Mn | 192.90 Mn |
| 6 | TransUnion | 15.61 Bn | 12.59 Bn | - | 839.10 Mn |
| 7 | Factset Research Systems | 11.68 Bn | 10.53 Bn | 308.40 Mn | 233.34 Mn |
| 8 | Morningstar | 8.44 Bn | 6.34 Bn | 423.90 Mn | 489.50 Mn |
| 9 | Mastercard | 542.86 Bn | 502.77 Bn | - | 11.29 Bn |
| 10 | Cme | 109.27 Bn | 97.61 Bn | - | 2.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 839.10 Mn |
| Mar 31, 2026 | 732.50 Mn |
| Dec 31, 2025 | 853.60 Mn |
| Sep 30, 2025 | 749.90 Mn |
| Jun 30, 2025 | 687.50 Mn |
| Mar 31, 2025 | 609.90 Mn |
| Dec 31, 2024 | 679.50 Mn |
| Sep 30, 2024 | 643.20 Mn |
| Jun 30, 2024 | 543.20 Mn |
| Mar 31, 2024 | 433.60 Mn |
| Dec 31, 2023 | 476.20 Mn |
| Sep 30, 2023 | 420.90 Mn |
| Jun 30, 2023 | 442.00 Mn |
| Mar 31, 2023 | 439.00 Mn |
| Dec 31, 2022 | 585.30 Mn |
| Sep 30, 2022 | 596.10 Mn |
| Jun 30, 2022 | 521.80 Mn |
| Mar 31, 2022 | 1.30 Bn |
| Dec 31, 2021 | 1.84 Bn |
| Sep 30, 2021 | 708.80 Mn |
API Access
TransUnion Cash & Equivalents 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-and-equivalents&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();