TransUnion (TRU) Buildings (2011 - 2025)
TransUnion (TRU) posted Buildings of $130.2 million for Q4 2025, down 0.2% from $130.4 million a year earlier.
Analysis
TransUnion (TRU) Buildings (2011 - 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 | 130.92 Bn | 121.51 Bn | 2.98 Bn |
| 2 | Moodys | 83.50 Bn | 75.78 Bn | 1.67 Bn |
| 3 | Msci | 43.53 Bn | 42.01 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 25.14 Bn | 19.78 Bn | 572.90 Mn |
| 5 | Equifax | 20.60 Bn | 19.88 Bn | 940.10 Mn |
| 6 | TransUnion | 15.19 Bn | 12.02 Bn | - |
| 7 | Factset Research Systems | 11.67 Bn | 10.52 Bn | 308.40 Mn |
| 8 | Morningstar | 8.10 Bn | 6.00 Bn | 423.90 Mn |
| 9 | Mastercard | 548.82 Bn | 508.75 Bn | - |
| 10 | Cme | 106.61 Bn | 94.70 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 |
| Dec 31, 2012 | 42.70 Mn |
| Sep 30, 2012 | 42.00 Mn |
| Jun 30, 2012 | 41.40 Mn |
| Dec 31, 2011 | 61.10 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_KEY
import 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();