Thomson Reuters (TRI) Other Accumulated Expenses (2009 - 2026)
Thomson Reuters' Other Accumulated Expenses was $597 million in Q2 2026, down 7.2% from $643 million a year earlier and down 9.8% from the prior quarter.
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Analysis
Thomson Reuters (TRI) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Thomson Reuters came in at $656 million, down 2.8% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $675 million in FY2024 (-2.5%), $692 million in FY2023 (+0.1%), $691 million in FY2022 (-2.5%) and $709 million in FY2021 (-34.5%).
- The Q2 2026 figure marks the lowest quarterly Other Accumulated Expenses since Q2 2011.
- Compared with a year earlier, Other Accumulated Expenses has declined for three straight quarters, with an average decline of 3.5% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q2 2022 (growth of 3.5%); the worst was Q4 2021 (a decline of 34.5%).
- Per Business Quant data, TRI's Other Accumulated Expenses in the three quarters before Q2 2026 was $662 million (Q1 2026), $656 million (Q4 2025) and $675 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 472.77 Bn | 441.83 Bn | 1.64 Bn |
| 2 | Oracle | 381.27 Bn | 253.82 Bn | - |
| 3 | Sap Se | 292.64 Bn | 221.00 Bn | 8.40 Bn |
| 4 | Salesforce | 204.54 Bn | 160.41 Bn | 8.70 Bn |
| 5 | ServiceNow | 164.40 Bn | 142.85 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 120.99 Bn | 103.12 Bn | 2.51 Bn |
| 7 | Intuit | 92.16 Bn | 71.51 Bn | 3.44 Bn |
| 8 | Relx | 73.71 Bn | 72.82 Bn | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - |
| 10 | Strategy | 51.39 Bn | 44.38 Bn | 81.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.82 Bn |
| Mar 31, 2026 | -12.24 Bn |
| Dec 31, 2025 | -3.63 Bn |
| Sep 30, 2025 | -4.89 Bn |
| Jun 30, 2025 | -5.01 Bn |
| Mar 31, 2025 | -3.71 Bn |
| Dec 31, 2024 | -3.21 Bn |
| Sep 30, 2024 | -6.51 Bn |
| Jun 30, 2024 | -6.51 Bn |
| Mar 31, 2024 | -5.38 Bn |
| Dec 31, 2023 | -6.53 Bn |
| Sep 30, 2023 | -9.55 Bn |
| Jun 30, 2023 | -9.80 Bn |
| Mar 31, 2023 | -8.50 Bn |
| Dec 31, 2022 | -6.71 Bn |
| Sep 30, 2022 | -7.20 Bn |
| Jun 30, 2022 | -6.68 Bn |
| Mar 31, 2022 | -6.85 Bn |
| Dec 31, 2021 | -6.67 Bn |
| Sep 30, 2021 | -7.64 Bn |
API Access
Thomson Reuters Other Accumulated Expenses 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=other-accumulated-expenses&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();