TransUnion (TRU) Operating Expenses (2010 - 2026)
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Analysis
TransUnion (TRU) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | 1.92 Bn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn | 1.12 Bn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn | 389.90 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | 442.60 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn | 1.34 Bn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - | 1.05 Bn |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn | 478.07 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn | 504.70 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - | 3.95 Bn |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - | 595.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.05 Bn |
| Jun 30, 2026 | 1.05 Bn |
| Mar 31, 2026 | 1.00 Bn |
| Dec 31, 2025 | 967.80 Mn |
| Sep 30, 2025 | 961.90 Mn |
| Jun 30, 2025 | 947.50 Mn |
| Mar 31, 2025 | 841.40 Mn |
| Dec 31, 2024 | 866.10 Mn |
| Sep 30, 2024 | 928.60 Mn |
| Jun 30, 2024 | 858.40 Mn |
| Mar 31, 2024 | 864.10 Mn |
| Dec 31, 2023 | 893.10 Mn |
| Sep 30, 2023 | 1.21 Bn |
| Jun 30, 2023 | 809.60 Mn |
| Mar 31, 2023 | 795.10 Mn |
| Dec 31, 2022 | 758.50 Mn |
| Sep 30, 2022 | 768.80 Mn |
| Jun 30, 2022 | 769.40 Mn |
| Mar 31, 2022 | 786.90 Mn |
| Dec 31, 2021 | 671.60 Mn |
API Access
TransUnion Operating Expenses 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=operating-expenses&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();