Thomson Reuters (TRI) Receivables - Net (2009 - 2026)
Thomson Reuters (TRI) posted Receivables - Net of $1.13 billion for Q2 2026, up 3.6% from $1.09 billion a year earlier but down 4.8% from the prior quarter.
Thomson Reuters (TRI) Receivables - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, Thomson Reuters' Receivables - Net came in at $1.17 billion, up 4.7% from FY2024.
- Annual Receivables - Net shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Thomson Reuters' Receivables - Net was $1.11 billion in FY2024 (-0.8%), $1.12 billion in FY2023 (+2.3%), $1.1 billion in FY2022 (-1.8%) and $1.12 billion in FY2021 (-6.5%).
- Quarterly Receivables - Net has run from a low of $941 million in Q1 2023 to a high of $1.18 billion in Q1 2026 over five years.
- On a year-over-year basis, Receivables - Net has increased in each of the last four quarters, with growth averaging 3.2% over the last eight quarters.
- The strongest year-over-year quarter for Receivables - Net in the past five years was Q1 2026, with growth of 12.2%; the weakest was Q3 2021, with a decline of 9.0%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $1.18 billion (Q1 2026), $1.14 billion (Q4 2025) and $1.05 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | 1.11 Bn |
| Sep 30, 2024 | 1.01 Bn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 982.00 Mn |
| Jun 30, 2023 | 1.00 Bn |
| Mar 31, 2023 | 941.00 Mn |
| Dec 31, 2022 | 1.07 Bn |
| Sep 30, 2022 | 949.00 Mn |
| Jun 30, 2022 | 984.00 Mn |
| Mar 31, 2022 | 982.00 Mn |
| Dec 31, 2021 | 1.06 Bn |
| Sep 30, 2021 | 951.00 Mn |
Thomson Reuters Receivables - Net 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=receivables-net&ticker=TRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();