TransUnion (TRU) Total Non-Current Liabilities (2013 - 2026)
TransUnion (TRU) posted Total Non-Current Liabilities of $7.06 billion for Q2 2026, up 10.8% from $6.37 billion a year earlier and up 1.1% from the prior quarter.
TransUnion (TRU) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, TransUnion's Total Non-Current Liabilities came in at $6.45 billion, down 1.5% from FY2024.
- Annual Total Non-Current Liabilities has declined for four consecutive years, though with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, TransUnion's Total Non-Current Liabilities was $6.55 billion in FY2024 (-4.3%), $6.85 billion in FY2023 (-5.2%), $7.22 billion in FY2022 (-14.0%) and $8.4 billion in FY2021 (+88.0%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2023.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last eight quarters, with an average year-over-year change of 0.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 88.0%; the weakest was Q4 2022, with a decline of 14.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $6.98 billion (Q1 2026), $6.45 billion (Q4 2025) and $6.41 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 30.53 Bn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | 10.72 Bn |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 8.15 Bn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 5.65 Bn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | 7.33 Bn |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | 7.06 Bn |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 2.12 Bn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 2.90 Bn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | 47.50 Bn |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | 167.36 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.06 Bn |
| Mar 31, 2026 | 6.98 Bn |
| Dec 31, 2025 | 6.45 Bn |
| Sep 30, 2025 | 6.41 Bn |
| Jun 30, 2025 | 6.37 Bn |
| Mar 31, 2025 | 6.34 Bn |
| Dec 31, 2024 | 6.55 Bn |
| Sep 30, 2024 | 6.61 Bn |
| Jun 30, 2024 | 6.63 Bn |
| Mar 31, 2024 | 6.68 Bn |
| Dec 31, 2023 | 6.85 Bn |
| Sep 30, 2023 | 6.83 Bn |
| Jun 30, 2023 | 6.99 Bn |
| Mar 31, 2023 | 7.06 Bn |
| Dec 31, 2022 | 7.22 Bn |
| Sep 30, 2022 | 7.47 Bn |
| Jun 30, 2022 | 7.55 Bn |
| Mar 31, 2022 | 7.85 Bn |
| Dec 31, 2021 | 8.40 Bn |
| Sep 30, 2021 | 4.35 Bn |
TransUnion Total Non-Current 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-non-current-liabilities&ticker=TRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();