TransUnion (TRU) Change in Other Operating Liabilities (2011 - 2026)
TransUnion (TRU) reported Change in Other Operating Liabilities of $26.4 million for Q3 2026, up 59.0% from $16.6 million a year earlier but down 52.7% from the prior quarter.
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Analysis
TransUnion (TRU) Change in Other Operating Liabilities (2011 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, TransUnion's Change in Other Operating Liabilities came in at -$22.4 million; for FY2025, it came in at -$127.6 million.
- By year, Change in Other Operating Liabilities came in at -$33.3 million in FY2024, $80.4 million in FY2023, -$436.3 million in FY2022 and -$32.5 million in FY2021.
- Five-year quarterly Change in Other Operating Liabilities spans a low of -$346 million in Q2 2022 and a high of $100.1 million in Q4 2023.
- Year over year, Change in Other Operating Liabilities gained in two of the last six quarters, with growth averaging 47.7%.
- The high point for year-over-year Change in Other Operating Liabilities in five years was Q4 2023 (growth of 641.5%); the low point was Q3 2022 (a decline of 77.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $55.8 million (Q2 2026), -$155.5 million (Q1 2026) and $50.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn | -110.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn | -181.00 Mn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn | -188.00 Mn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn | -64.20 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - | 26.40 Mn |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn | -12.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn | -25.60 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - | -1.01 Bn |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | -136.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.40 Mn |
| Jun 30, 2026 | 55.80 Mn |
| Mar 31, 2026 | -155.50 Mn |
| Dec 31, 2025 | 50.90 Mn |
| Sep 30, 2025 | 16.60 Mn |
| Jun 30, 2025 | 11.60 Mn |
| Mar 31, 2025 | -206.70 Mn |
| Dec 31, 2024 | 59.50 Mn |
| Sep 30, 2024 | 22.40 Mn |
| Jun 30, 2024 | 43.00 Mn |
| Mar 31, 2024 | -158.20 Mn |
| Dec 31, 2023 | 100.10 Mn |
| Sep 30, 2023 | 22.50 Mn |
| Jun 30, 2023 | 38.70 Mn |
| Mar 31, 2023 | -80.90 Mn |
| Dec 31, 2022 | 13.50 Mn |
| Sep 30, 2022 | 12.60 Mn |
| Jun 30, 2022 | -346.00 Mn |
| Mar 31, 2022 | -116.40 Mn |
| Dec 31, 2021 | -35.80 Mn |
API Access
TransUnion Change in Other Operating Liabilities 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=change-in-other-operating-liabilities&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "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=change-in-other-operating-liabilities&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();