TransUnion (TRU) Intangibles (2011 - 2026)
TransUnion's Intangibles came in at $3.43 billion for Q3 2026, up 8.4% from $3.16 billion a year earlier but down 2.6% from the prior quarter.
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Analysis
TransUnion (TRU) Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2025, TransUnion's Intangibles was $3.1 billion, down 4.9% from FY2024.
- Intangibles has declined in each of the last four years, though with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Intangibles was $3.26 billion in FY2024 (-7.3%), $3.52 billion in FY2023 (-4.4%), $3.68 billion in FY2022 (-2.5%) and $3.77 billion in FY2021 (+73.5%).
- The five-year range for quarterly Intangibles is $3.1 billion (Q4 2025) to $3.82 billion (Q2 2022).
- Year-over-year, Intangibles has increased for three consecutive quarters, with an average decline of 0.2% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in Q4 2021 (growth of 73.5%), and the weakest in Q4 2024 (a decline of 7.3%).
- Business Quant data shows TRU's Intangibles at $3.52 billion (Q2 2026), $3.56 billion (Q1 2026) and $3.1 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 899.10 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 11.94 Bn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 1.69 Bn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 308.30 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 1.17 Bn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 3.43 Bn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 1.85 Bn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 550.00 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 5.70 Bn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 2.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.43 Bn |
| Jun 30, 2026 | 3.52 Bn |
| Mar 31, 2026 | 3.56 Bn |
| Dec 31, 2025 | 3.10 Bn |
| Sep 30, 2025 | 3.16 Bn |
| Jun 30, 2025 | 3.24 Bn |
| Mar 31, 2025 | 3.21 Bn |
| Dec 31, 2024 | 3.26 Bn |
| Sep 30, 2024 | 3.36 Bn |
| Jun 30, 2024 | 3.39 Bn |
| Mar 31, 2024 | 3.45 Bn |
| Dec 31, 2023 | 3.52 Bn |
| Sep 30, 2023 | 3.55 Bn |
| Jun 30, 2023 | 3.61 Bn |
| Mar 31, 2023 | 3.64 Bn |
| Dec 31, 2022 | 3.68 Bn |
| Sep 30, 2022 | 3.70 Bn |
| Jun 30, 2022 | 3.82 Bn |
| Mar 31, 2022 | 3.70 Bn |
| Dec 31, 2021 | 3.77 Bn |
API Access
TransUnion Intangibles 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=intangibles&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();