Thomson Reuters (TRI) Total Non-Current Liabilities (2009 - 2026)
Thomson Reuters (TRI) posted Total Non-Current Liabilities of -$15.42 billion for Q3 2026, compared with -$6.86 billion a year earlier.
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Analysis
Thomson Reuters (TRI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Thomson Reuters' Total Non-Current Liabilities came in at $6.01 billion, down 6.3% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -29.2% (FY2020 to FY2025).
- In prior years, Thomson Reuters' Total Non-Current Liabilities was $6.42 billion in FY2024 (-7.4%), $6.93 billion in FY2023 (-83.2%), $41.21 billion in FY2022 (+441.8%) and $7.61 billion in FY2021 (-77.6%).
- The Q3 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q2 2012.
- On a year-over-year basis, Total Non-Current Liabilities increased in 1 of the last four quarters, with growth averaging 1.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2022, with growth of 441.8%; the weakest was Q2 2024, with a decline of 85.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $6.95 billion (Q2 2026), -$14.26 billion (Q1 2026) and $6.01 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 2.06 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 188.55 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 12.21 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 67.55 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 57.23 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 18.14 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 17.43 Bn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | 1.33 Mn |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | -15.42 Bn |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | 14.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -15.42 Bn |
| Jun 30, 2026 | 6.95 Bn |
| Mar 31, 2026 | -14.26 Bn |
| Dec 31, 2025 | 6.01 Bn |
| Sep 30, 2025 | -6.86 Bn |
| Jun 30, 2025 | 5.35 Bn |
| Mar 31, 2025 | -6.89 Bn |
| Dec 31, 2024 | 6.42 Bn |
| Sep 30, 2024 | -8.12 Bn |
| Jun 30, 2024 | 6.08 Bn |
| Mar 31, 2024 | -7.01 Bn |
| Dec 31, 2023 | 6.93 Bn |
| Sep 30, 2023 | -11.22 Bn |
| Jun 30, 2023 | 42.76 Bn |
| Mar 31, 2023 | -10.17 Bn |
| Dec 31, 2022 | 41.21 Bn |
| Sep 30, 2022 | -8.85 Bn |
| Jun 30, 2022 | 41.14 Bn |
| Mar 31, 2022 | -8.73 Bn |
| Dec 31, 2021 | 7.61 Bn |
API Access
Thomson Reuters 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=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();