Thomson Reuters (TRI) Cash & Equivalents (2009 - 2026)
Thomson Reuters' Cash & Equivalents came in at $577 million for Q2 2026, down 13.1% from $664 million a year earlier but up 44.3% from the prior quarter.
Thomson Reuters (TRI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Thomson Reuters' Cash & Equivalents was $511 million, down 74.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -22.1% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $1.97 billion in FY2024 (+51.6%), $1.3 billion in FY2023 (+21.4%), $1.07 billion in FY2022 (+37.4%) and $778 million in FY2021 (-56.5%).
- The five-year range for quarterly Cash & Equivalents is $400 million (Q1 2026) to $2.86 billion (Q2 2023).
- Year-over-year, Cash & Equivalents has declined for six consecutive quarters, with an average decline of 36.2% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2023 (growth of 520.0%), and the weakest in Q2 2022 (a decline of 80.3%).
- Business Quant data shows TRI's Cash & Equivalents at $400 million (Q1 2026), $511 million (Q4 2025) and $618 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 2.03 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 36.37 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 12.22 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 8.31 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.50 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 4.23 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 295.17 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 1.71 Bn |
| 10 | Thomson Reuters | 43.44 Bn | 39.49 Bn | - | 577.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 577.00 Mn |
| Mar 31, 2026 | 400.00 Mn |
| Dec 31, 2025 | 511.00 Mn |
| Sep 30, 2025 | 618.00 Mn |
| Jun 30, 2025 | 664.00 Mn |
| Mar 31, 2025 | 1.37 Bn |
| Dec 31, 2024 | 1.97 Bn |
| Sep 30, 2024 | 1.73 Bn |
| Jun 30, 2024 | 1.67 Bn |
| Mar 31, 2024 | 1.89 Bn |
| Dec 31, 2023 | 1.30 Bn |
| Sep 30, 2023 | 2.52 Bn |
| Jun 30, 2023 | 2.86 Bn |
| Mar 31, 2023 | 1.69 Bn |
| Dec 31, 2022 | 1.07 Bn |
| Sep 30, 2022 | 459.00 Mn |
| Jun 30, 2022 | 461.00 Mn |
| Mar 31, 2022 | 654.00 Mn |
| Dec 31, 2021 | 778.00 Mn |
| Sep 30, 2021 | 1.51 Bn |
Thomson Reuters Cash & Equivalents 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=cash-and-equivalents&ticker=TRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();