Thomson Reuters (TRI) Other Non-Current Liabilities (2009 - 2026)
Thomson Reuters (TRI) reported Other Non-Current Liabilities of $6 million for Q2 2026, up 50.0% from $4 million a year earlier.
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Analysis
Thomson Reuters (TRI) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Thomson Reuters posted Other Non-Current Liabilities of $13 million, down 13.3% from FY2024.
- By year, Other Non-Current Liabilities came in at $15 million in FY2024.
- Five-year quarterly Other Non-Current Liabilities spans a low of $4 million in Q2 2025 and a high of $15 million in Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - |
| 10 | Strategy | 51.39 Bn | 44.38 Bn | 81.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 662.00 Mn |
| Dec 31, 2025 | 13.00 Mn |
| Sep 30, 2025 | 675.00 Mn |
| Jun 30, 2025 | 4.00 Mn |
| Mar 31, 2025 | 665.00 Mn |
| Dec 31, 2024 | 15.00 Mn |
| Sep 30, 2024 | 670.00 Mn |
| Jun 30, 2024 | 678.00 Mn |
| Mar 31, 2024 | 689.00 Mn |
| Dec 31, 2023 | 692.00 Mn |
| Sep 30, 2023 | 720.00 Mn |
| Jun 30, 2023 | 675.00 Mn |
| Mar 31, 2023 | 708.00 Mn |
| Dec 31, 2022 | 691.00 Mn |
| Sep 30, 2022 | 757.00 Mn |
| Jun 30, 2022 | 959.00 Mn |
| Mar 31, 2022 | 881.00 Mn |
| Dec 31, 2021 | 709.00 Mn |
| Sep 30, 2021 | 971.00 Mn |
API Access
Thomson Reuters Other 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=other-non-current-liabilities&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();