TransUnion (TRU) Selling, General & Administrative (2010 - 2026)
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Analysis
TransUnion (TRU) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | 660.00 Mn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn | 442.00 Mn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn | 48.20 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | 128.60 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn | 390.40 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - | 346.60 Mn |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn | 151.78 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn | 93.10 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - | 3.29 Bn |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 346.60 Mn |
| Jun 30, 2026 | 346.50 Mn |
| Mar 31, 2026 | 329.10 Mn |
| Dec 31, 2025 | 342.30 Mn |
| Sep 30, 2025 | 330.80 Mn |
| Jun 30, 2025 | 335.00 Mn |
| Mar 31, 2025 | 256.80 Mn |
| Dec 31, 2024 | 317.20 Mn |
| Sep 30, 2024 | 305.70 Mn |
| Jun 30, 2024 | 310.80 Mn |
| Mar 31, 2024 | 305.60 Mn |
| Dec 31, 2023 | 303.90 Mn |
| Sep 30, 2023 | 290.80 Mn |
| Jun 30, 2023 | 292.50 Mn |
| Mar 31, 2023 | 284.60 Mn |
| Dec 31, 2022 | 273.90 Mn |
| Sep 30, 2022 | 287.60 Mn |
| Jun 30, 2022 | 293.20 Mn |
| Mar 31, 2022 | 324.70 Mn |
| Dec 31, 2021 | 250.50 Mn |
API Access
TransUnion Selling, General & Administrative 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=selling-general-and-administrative&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();