TransUnion (TRU) Buildings (2013 - 2025)
TransUnion (TRU) posted Buildings of $130.2 million for Q4 2025, down 0.2% from $130.4 million a year earlier.
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Analysis
TransUnion (TRU) Buildings (2013 - 2025) Analysis & Trends
Since Q4 2013, TransUnion has reported Buildings for 13 quarters.
- Annual Buildings shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In prior years, TransUnion's Buildings was $130.4 million in FY2024 (-9.3%), $143.8 million in FY2023 (+0.5%), $143.1 million in FY2022 (+2.3%) and $139.9 million in FY2021 (+18.6%).
- The Q4 2025 figure stands as the lowest quarterly Buildings since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 130.20 Mn |
| Dec 31, 2024 | 130.40 Mn |
| Dec 31, 2023 | 143.80 Mn |
| Dec 31, 2022 | 143.10 Mn |
| Dec 31, 2021 | 139.90 Mn |
| Dec 31, 2020 | 118.00 Mn |
| Dec 31, 2019 | 113.90 Mn |
| Dec 31, 2018 | 107.90 Mn |
| Dec 31, 2017 | 99.20 Mn |
| Dec 31, 2016 | 97.50 Mn |
| Dec 31, 2015 | 91.40 Mn |
| Dec 31, 2014 | 89.00 Mn |
| Dec 31, 2013 | 64.30 Mn |
API Access
TransUnion Buildings 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=buildings&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();