Thomson Reuters (TRI) Depreciation and Depletion (2009 - 2026)
Thomson Reuters (TRI) posted Depreciation and Depletion of $24 million for Q3 2026, down 7.7% from $26 million a year earlier and down 11.1% from the prior quarter.
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Analysis
Thomson Reuters (TRI) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Depreciation and Depletion at Thomson Reuters was $107 million, unchanged year-over-year; for FY2025, it was $111 million, down 1.8% from FY2024.
- Annual Depreciation and Depletion has declined for five consecutive years, with a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- In prior years, Thomson Reuters' Depreciation and Depletion was $113 million in FY2024 (-2.6%), $116 million in FY2023 (-17.1%), $140 million in FY2022 (-20.9%) and $177 million in FY2021 (-3.8%).
- On a year-over-year basis, Depreciation and Depletion increased in two of the last eight quarters, with an average decline of 3.8%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2021, with growth of 22.5%; the weakest was Q4 2022, with a decline of 38.8%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $27 million (Q2 2026), $28 million (Q1 2026) and $28 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | - |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 3.20 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 | 162.00 Mn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 24.00 Mn |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | 10.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.00 Mn |
| Jun 30, 2026 | 27.00 Mn |
| Mar 31, 2026 | 28.00 Mn |
| Dec 31, 2025 | 28.00 Mn |
| Sep 30, 2025 | 26.00 Mn |
| Jun 30, 2025 | 28.00 Mn |
| Mar 31, 2025 | 27.00 Mn |
| Dec 31, 2024 | 26.00 Mn |
| Sep 30, 2024 | 30.00 Mn |
| Jun 30, 2024 | 29.00 Mn |
| Mar 31, 2024 | 28.00 Mn |
| Dec 31, 2023 | 29.00 Mn |
| Sep 30, 2023 | 28.00 Mn |
| Jun 30, 2023 | 29.00 Mn |
| Mar 31, 2023 | 30.00 Mn |
| Dec 31, 2022 | 30.00 Mn |
| Sep 30, 2022 | 34.00 Mn |
| Jun 30, 2022 | 38.00 Mn |
| Mar 31, 2022 | 38.00 Mn |
| Dec 31, 2021 | 49.00 Mn |
API Access
Thomson Reuters Depreciation and Depletion 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=depreciation-and-depletion&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();