TransUnion (TRU) Property, Plant & Equipment (Net) (2011 - 2026)
TransUnion (TRU) reported Property, Plant & Equipment (Net) of $241.2 million for Q3 2026, up 3.5% from $233.1 million a year earlier but down 11.0% from the prior quarter.
TransUnion (TRU) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, TransUnion posted Property, Plant & Equipment (Net) of $258.4 million, up 27.0% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $203.5 million in FY2024 (+2.1%), $199.3 million in FY2023 (-8.7%), $218.2 million in FY2022 (-11.9%) and $247.7 million in FY2021 (+12.7%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $181.5 million in Q3 2024 and a high of $275.1 million in Q1 2026.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last eight quarters, with growth averaging 18.4% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2026 (growth of 37.7%); the low point was Q3 2023 (a decline of 13.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $270.9 million (Q2 2026), $275.1 million (Q1 2026) and $258.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | 99.10 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | 233.00 Mn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | 782.00 Mn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | 616.20 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | 1.92 Bn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 241.20 Mn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | 79.25 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | 244.70 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | 2.64 Bn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 338.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 241.20 Mn |
| Jun 30, 2026 | 270.90 Mn |
| Mar 31, 2026 | 275.10 Mn |
| Dec 31, 2025 | 258.40 Mn |
| Sep 30, 2025 | 233.10 Mn |
| Jun 30, 2025 | 228.50 Mn |
| Mar 31, 2025 | 199.80 Mn |
| Dec 31, 2024 | 203.50 Mn |
| Sep 30, 2024 | 181.50 Mn |
| Jun 30, 2024 | 183.60 Mn |
| Mar 31, 2024 | 189.90 Mn |
| Dec 31, 2023 | 199.30 Mn |
| Sep 30, 2023 | 182.90 Mn |
| Jun 30, 2023 | 195.20 Mn |
| Mar 31, 2023 | 209.50 Mn |
| Dec 31, 2022 | 218.20 Mn |
| Sep 30, 2022 | 212.00 Mn |
| Jun 30, 2022 | 218.30 Mn |
| Mar 31, 2022 | 233.00 Mn |
| Dec 31, 2021 | 247.70 Mn |
TransUnion Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();