TransUnion (TRU) Selling, General & Administrative (2012 - 2026)
TransUnion's Selling, General & Administrative was $346.5 million in Q2 2026, up 3.4% from $335 million a year earlier and up 5.3% from the prior quarter.
TransUnion (TRU) Selling, General & Administrative (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, TransUnion's Selling, General & Administrative was $1.35 billion through Jun 30, 2026, up 11.0% year-over-year; for FY2025, it came in at $1.26 billion, up 2.1% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $1.24 billion in FY2024 (+5.8%), $1.17 billion in FY2023 (-0.7%), $1.18 billion in FY2022 (+29.7%) and $909 million in FY2021 (+9.6%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q1 2012.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 6.1% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2022 (growth of 48.2%); the worst was Q1 2025 (a decline of 16.0%).
- Per Business Quant data, TRU's Selling, General & Administrative in the three quarters before Q2 2026 was $329.1 million (Q1 2026), $342.3 million (Q4 2025) and $330.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 873.00 Mn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 463.00 Mn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 46.20 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 128.60 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 422.50 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 346.50 Mn |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 144.43 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 98.50 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 3.08 Bn |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 239.60 Mn |
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_KEY
import 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();