Thomson Reuters (TRI) Prepaid Assets (2009 - 2026)
Thomson Reuters (TRI) posted Prepaid Assets of $449 million for Q2 2026, up 1.8% from $441 million a year earlier but down 2.4% from the prior quarter.
Powered by 
Analysis
Thomson Reuters (TRI) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Thomson Reuters' Prepaid Assets came in at $480 million, up 20.0% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In prior years, Thomson Reuters' Prepaid Assets was $400 million in FY2024 (-8.0%), $435 million in FY2023 (-7.2%), $469 million in FY2022 (-8.0%) and $510 million in FY2021 (+20.0%).
- Quarterly Prepaid Assets has run from a low of $394 million in Q3 2024 to a high of $510 million in Q4 2021 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last four quarters, with growth averaging 0.6% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q4 2025, with growth of 20.0%; the weakest was Q3 2024, with a decline of 10.3%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $460 million (Q1 2026), $480 million (Q4 2025) and $428 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 449.00 Mn |
| Mar 31, 2026 | 460.00 Mn |
| Dec 31, 2025 | 480.00 Mn |
| Sep 30, 2025 | 428.00 Mn |
| Jun 30, 2025 | 441.00 Mn |
| Mar 31, 2025 | 428.00 Mn |
| Dec 31, 2024 | 400.00 Mn |
| Sep 30, 2024 | 394.00 Mn |
| Jun 30, 2024 | 474.00 Mn |
| Mar 31, 2024 | 464.00 Mn |
| Dec 31, 2023 | 435.00 Mn |
| Sep 30, 2023 | 439.00 Mn |
| Jun 30, 2023 | 472.00 Mn |
| Mar 31, 2023 | 458.00 Mn |
| Dec 31, 2022 | 469.00 Mn |
| Sep 30, 2022 | 429.00 Mn |
| Jun 30, 2022 | 416.00 Mn |
| Mar 31, 2022 | 445.00 Mn |
| Dec 31, 2021 | 510.00 Mn |
| Sep 30, 2021 | 463.00 Mn |
API Access
Thomson Reuters Prepaid Assets 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=prepaid-assets&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();