TransUnion (TRU) Other Operating Expenses (2012 - 2026)
TransUnion's Other Operating Expenses came in at $534.7 million for Q3 2026, up 11.3% from $480.4 million a year earlier but down 1.8% from the prior quarter.
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Analysis
TransUnion (TRU) Other Operating Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, TransUnion reported Other Operating Expenses of $2.08 billion, up 12.3% year-over-year; for FY2025, it came in at $1.87 billion, up 11.9% from FY2024.
- Other Operating Expenses has increased in each of the last 14 years, with a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $1.67 billion in FY2024 (+10.3%), $1.52 billion in FY2023 (+9.6%), $1.39 billion in FY2022 (+35.5%) and $1.02 billion in FY2021 (+19.7%).
- The five-year range for quarterly Other Operating Expenses is $317.7 million (Q4 2021) to $544.6 million (Q2 2026).
- Year-over-year, Other Operating Expenses has increased for 24 consecutive quarters, with growth averaging 13.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 4.9% in Q3 2023 to 69.2% in Q4 2021.
- Business Quant data shows TRU's Other Operating Expenses at $544.6 million (Q2 2026), $519.5 million (Q1 2026) and $476.2 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 534.70 Mn |
| Jun 30, 2026 | 544.60 Mn |
| Mar 31, 2026 | 519.50 Mn |
| Dec 31, 2025 | 476.10 Mn |
| Sep 30, 2025 | 480.30 Mn |
| Jun 30, 2025 | 469.90 Mn |
| Mar 31, 2025 | 445.60 Mn |
| Dec 31, 2024 | 411.60 Mn |
| Sep 30, 2024 | 448.70 Mn |
| Jun 30, 2024 | 406.70 Mn |
| Mar 31, 2024 | 406.30 Mn |
| Dec 31, 2023 | 380.50 Mn |
| Sep 30, 2023 | 368.80 Mn |
| Jun 30, 2023 | 387.00 Mn |
| Mar 31, 2023 | 380.80 Mn |
| Dec 31, 2022 | 354.50 Mn |
| Sep 30, 2022 | 351.60 Mn |
| Jun 30, 2022 | 345.60 Mn |
| Mar 31, 2022 | 333.40 Mn |
| Dec 31, 2021 | 317.70 Mn |
API Access
TransUnion Other 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=other-operating-expenses&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();