Thomson Reuters (TRI) Current Debt (2009 - 2026)
Thomson Reuters (TRI) reported Current Debt of $983 million for Q2 2026.
Analysis
Thomson Reuters (TRI) Current Debt (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Thomson Reuters' Current Debt came in at $1.27 billion; for FY2025, it was $290 million.
- By year, Current Debt came in at -$139 million in FY2024, -$956 million in FY2023 and $1.04 billion in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Current Debt since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | - |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | - |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | - |
| 10 | Thomson Reuters | 43.44 Bn | 39.49 Bn | - | 983.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 983.00 Mn |
| Dec 31, 2025 | -49.00 Mn |
| Sep 30, 2025 | 339.00 Mn |
| Jun 30, 2024 | -703.00 Mn |
| Mar 31, 2024 | 564.00 Mn |
| Dec 31, 2023 | -513.00 Mn |
| Sep 30, 2023 | -1.21 Bn |
| Jun 30, 2023 | 1.13 Bn |
| Mar 31, 2023 | -361.00 Mn |
| Dec 31, 2022 | 673.00 Mn |
| Sep 30, 2022 | 319.00 Mn |
| Mar 31, 2020 | -1.00 Mn |
| Dec 31, 2018 | -3.00 Mn |
| Sep 30, 2018 | -2.00 Mn |
| Jun 30, 2018 | -4.00 Mn |
| Mar 31, 2018 | -4.00 Mn |
| Dec 31, 2017 | 936.00 Mn |
| Sep 30, 2017 | -6.00 Mn |
| Jun 30, 2017 | -105.00 Mn |
| Mar 31, 2017 | 255.00 Mn |
API Access
Thomson Reuters Current Debt 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=current-debt&ticker=TRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();