Thomson Reuters (TRI) Total Liabilities (2009 - 2026)
Thomson Reuters' Total Liabilities was -$14.81 billion in Q3 2026, compared with -$6.18 billion a year earlier.
Powered by 
Analysis
Thomson Reuters (TRI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Thomson Reuters came in at $6.03 billion, down 6.3% from FY2024.
- Total Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -29.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $6.43 billion in FY2024 (-15.6%), $7.62 billion in FY2023 (-81.8%), $41.9 billion in FY2022 (+403.9%) and $8.32 billion in FY2021 (-76.2%).
- The Q3 2026 figure marks the lowest quarterly Total Liabilities since Q2 2012.
- Compared with a year earlier, Total Liabilities was higher in 1 of the last four quarters, with an average decline of 3.2%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2022 (growth of 403.9%); the worst was Q2 2024 (a decline of 84.4%).
- Per Business Quant data, TRI's Total Liabilities in the three quarters before Q3 2026 was $6.95 billion (Q2 2026), -$13.6 billion (Q1 2026) and $6.03 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 2.07 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 236.06 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 33.88 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 71.24 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 58.36 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 18.73 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | 18.26 Bn |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | -14.81 Bn |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | 15.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -14.81 Bn |
| Jun 30, 2026 | 6.95 Bn |
| Mar 31, 2026 | -13.60 Bn |
| Dec 31, 2025 | 6.03 Bn |
| Sep 30, 2025 | -6.18 Bn |
| Jun 30, 2025 | 5.35 Bn |
| Mar 31, 2025 | -6.22 Bn |
| Dec 31, 2024 | 6.43 Bn |
| Sep 30, 2024 | -7.45 Bn |
| Jun 30, 2024 | 6.76 Bn |
| Mar 31, 2024 | -6.33 Bn |
| Dec 31, 2023 | 7.62 Bn |
| Sep 30, 2023 | -10.50 Bn |
| Jun 30, 2023 | 43.44 Bn |
| Mar 31, 2023 | -9.47 Bn |
| Dec 31, 2022 | 41.90 Bn |
| Sep 30, 2022 | -8.10 Bn |
| Jun 30, 2022 | 42.10 Bn |
| Mar 31, 2022 | -7.85 Bn |
| Dec 31, 2021 | 8.32 Bn |
API Access
Thomson Reuters 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=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TRI", "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=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();