TransUnion (TRU) Operating Expenses (2012 - 2026)
TransUnion (TRU) reported Operating Expenses of $1.05 billion for Q2 2026, up 11.0% from $947.5 million a year earlier and up 5.1% from the prior quarter.
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Analysis
TransUnion (TRU) Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, TransUnion's Operating Expenses came in at $3.98 billion, up 11.1% year-over-year; for FY2025, it was $3.72 billion, up 5.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $3.52 billion in FY2024 (-5.0%), $3.7 billion in FY2023 (+20.1%), $3.08 billion in FY2022 (+33.6%) and $2.31 billion in FY2021 (+13.7%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q3 2023.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 3.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 56.7%); the low point was Q3 2024 (a decline of 22.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1 billion (Q1 2026), $967.8 million (Q4 2025) and $961.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 2.35 Bn |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 1.14 Bn |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 379.50 Mn |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 442.60 Mn |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 1.39 Bn |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 1.05 Bn |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 456.62 Mn |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 509.40 Mn |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 3.69 Bn |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 599.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 573.70 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();