Thomson Reuters (TRI) Accumulated Expenses (2009 - 2026)
Thomson Reuters (TRI) recorded Accumulated Expenses of $1.07 billion in Q3 2026, up 13.1% from $947 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Thomson Reuters (TRI) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Thomson Reuters reported Accumulated Expenses of $1.09 billion, down 0.1% from FY2024.
- Annual Accumulated Expenses has declined for four straight years, with a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $1.09 billion in FY2024 (-2.1%), $1.11 billion in FY2023 (-8.8%), $1.22 billion in FY2022 (-10.3%) and $1.36 billion in FY2021 (+17.6%).
- Quarterly Accumulated Expenses has ranged from $864 million in Q1 2023 to $1.36 billion in Q4 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 17.6% in Q4 2021, against a decline of 18.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.01 billion (Q2 2026), $934 million (Q1 2026) and $1.09 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.07 Bn |
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 934.00 Mn |
| Dec 31, 2025 | 1.09 Bn |
| Sep 30, 2025 | 947.00 Mn |
| Jun 30, 2025 | 892.00 Mn |
| Mar 31, 2025 | 878.00 Mn |
| Dec 31, 2024 | 1.09 Bn |
| Sep 30, 2024 | 1.06 Bn |
| Jun 30, 2024 | 1.03 Bn |
| Mar 31, 2024 | 922.00 Mn |
| Dec 31, 2023 | 1.11 Bn |
| Sep 30, 2023 | 925.00 Mn |
| Jun 30, 2023 | 933.00 Mn |
| Mar 31, 2023 | 864.00 Mn |
| Dec 31, 2022 | 1.22 Bn |
| Sep 30, 2022 | 994.00 Mn |
| Jun 30, 2022 | 953.00 Mn |
| Mar 31, 2022 | 1.05 Bn |
| Dec 31, 2021 | 1.36 Bn |
API Access
Thomson Reuters 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=accumulated-expenses&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();