TransUnion (TRU) Total Current Liabilities (2013 - 2026)
TransUnion's Total Current Liabilities was $1.15 billion in Q2 2026, up 21.8% from $941.1 million a year earlier and up 9.6% from the prior quarter.
Analysis
TransUnion (TRU) Total Current Liabilities (2013 - 2026) Analysis & Trends
From Q4 2013 onward, TransUnion has reported Total Current Liabilities for 51 quarters.
- Total Current Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $1.06 billion in FY2024 (+5.7%), $1 billion in FY2023 (+10.7%), $905.5 million in FY2022 (-33.3%) and $1.36 billion in FY2021 (+102.6%).
- Quarterly Total Current Liabilities has moved between $680 million (Q3 2021) and $1.36 billion (Q4 2021) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 8.3% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 102.6%); the worst was Q4 2022 (a decline of 33.3%).
- Per Business Quant data, TRU's Total Current Liabilities in the three quarters before Q2 2026 was $1.05 billion (Q1 2026), $1.15 billion (Q4 2025) and $984.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn | 9.13 Bn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn | 3.35 Bn |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn | 1.61 Bn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn | 1.12 Bn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn | 2.63 Bn |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - | 1.15 Bn |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn | 1.06 Bn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn | 980.30 Mn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - | 25.00 Bn |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - | 158.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | 1.05 Bn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 984.90 Mn |
| Jun 30, 2025 | 941.10 Mn |
| Mar 31, 2025 | 888.50 Mn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 995.70 Mn |
| Jun 30, 2024 | 930.70 Mn |
| Mar 31, 2024 | 861.00 Mn |
| Dec 31, 2023 | 1.00 Bn |
| Sep 30, 2023 | 911.10 Mn |
| Jun 30, 2023 | 935.90 Mn |
| Mar 31, 2023 | 878.40 Mn |
| Dec 31, 2022 | 905.50 Mn |
| Sep 30, 2022 | 889.90 Mn |
| Jun 30, 2022 | 916.00 Mn |
| Mar 31, 2022 | 1.21 Bn |
| Dec 31, 2021 | 1.36 Bn |
| Sep 30, 2021 | 680.00 Mn |
API Access
TransUnion Total 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-current-liabilities&ticker=TRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();