TransUnion (TRU) Other Accumulated Expenses (2010 - 2026)
TransUnion's Other Accumulated Expenses came in at $562.7 million for Q3 2026, up 4.4% from $538.8 million a year earlier and up 6.6% from the prior quarter.
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Analysis
TransUnion (TRU) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, TransUnion's Other Accumulated Expenses was $607.6 million, down 12.5% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $694.4 million in FY2024 (+4.9%), $661.8 million in FY2023 (+22.4%), $540.5 million in FY2022 (-44.4%) and $972.2 million in FY2021 (+139.9%).
- The five-year range for quarterly Other Accumulated Expenses is $461.5 million (Q1 2026) to $972.2 million (Q4 2021).
- Year-over-year, Other Accumulated Expenses increased in three of the last eight quarters, with an average decline of 3.4%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q4 2021 (growth of 139.9%), and the weakest in Q4 2022 (a decline of 44.4%).
- Business Quant data shows TRU's Other Accumulated Expenses at $528.1 million (Q2 2026), $461.5 million (Q1 2026) and $607.6 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 562.70 Mn |
| Jun 30, 2026 | 528.10 Mn |
| Mar 31, 2026 | 461.50 Mn |
| Dec 31, 2025 | 607.60 Mn |
| Sep 30, 2025 | 538.80 Mn |
| Jun 30, 2025 | 519.90 Mn |
| Mar 31, 2025 | 492.30 Mn |
| Dec 31, 2024 | 694.40 Mn |
| Sep 30, 2024 | 609.80 Mn |
| Jun 30, 2024 | 551.60 Mn |
| Mar 31, 2024 | 502.20 Mn |
| Dec 31, 2023 | 661.80 Mn |
| Sep 30, 2023 | 525.90 Mn |
| Jun 30, 2023 | 500.70 Mn |
| Mar 31, 2023 | 465.30 Mn |
| Dec 31, 2022 | 540.50 Mn |
| Sep 30, 2022 | 506.90 Mn |
| Jun 30, 2022 | 511.60 Mn |
| Mar 31, 2022 | 833.70 Mn |
| Dec 31, 2021 | 972.20 Mn |
API Access
TransUnion Other Accumulated 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-accumulated-expenses&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();