TransUnion (TRU) Total Liabilities (2013 - 2026)
TransUnion's Total Liabilities came in at $7.19 billion for Q2 2026, up 10.8% from $6.49 billion a year earlier and up 0.8% from the prior quarter.
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Analysis
TransUnion (TRU) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, TransUnion's Total Liabilities was $6.57 billion, down 1.5% from FY2024.
- Total Liabilities has declined in each of the last four years, though with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $6.67 billion in FY2024 (-4.8%), $7 billion in FY2023 (-5.4%), $7.4 billion in FY2022 (-14.3%) and $8.63 billion in FY2021 (+84.6%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q1 2023.
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 0.2%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 84.6%), and the weakest in Q4 2022 (a decline of 14.3%).
- Business Quant data shows TRU's Total Liabilities at $7.13 billion (Q1 2026), $6.57 billion (Q4 2025) and $6.53 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 31.29 Bn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | 11.51 Bn |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 8.29 Bn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 5.68 Bn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | 7.58 Bn |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | 7.19 Bn |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 2.16 Bn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 2.92 Bn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | 52.08 Bn |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | 168.16 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.19 Bn |
| Mar 31, 2026 | 7.13 Bn |
| Dec 31, 2025 | 6.57 Bn |
| Sep 30, 2025 | 6.53 Bn |
| Jun 30, 2025 | 6.49 Bn |
| Mar 31, 2025 | 6.46 Bn |
| Dec 31, 2024 | 6.67 Bn |
| Sep 30, 2024 | 6.73 Bn |
| Jun 30, 2024 | 6.79 Bn |
| Mar 31, 2024 | 6.85 Bn |
| Dec 31, 2023 | 7.00 Bn |
| Sep 30, 2023 | 6.99 Bn |
| Jun 30, 2023 | 7.16 Bn |
| Mar 31, 2023 | 7.23 Bn |
| Dec 31, 2022 | 7.40 Bn |
| Sep 30, 2022 | 7.65 Bn |
| Jun 30, 2022 | 7.74 Bn |
| Mar 31, 2022 | 8.06 Bn |
| Dec 31, 2021 | 8.63 Bn |
| Sep 30, 2021 | 4.53 Bn |
API Access
TransUnion Total 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=total-liabilities&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();