Thomson Reuters (TRI) Depreciation & Amortization - Total (2009 - 2026)
Thomson Reuters (TRI) recorded Depreciation & Amortization - Total of $24 million in 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 & Amortization - Total (2009 - 2026) Analysis & Trends
On a TTM basis, Thomson Reuters' Depreciation & Amortization - Total came in at $244 million as of Sep 30, 2026, up 128.0% year-over-year; for FY2025, it was $111 million, down 1.8% from FY2024.
- Annual Depreciation & Amortization - Total has declined for five straight years, with a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization - Total came in at $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 & Amortization - Total rose in two of the last eight quarters, with growth averaging 59.6%.
- Peak year-over-year performance for Depreciation & Amortization - Total in the last five years was growth of 511.1% in Q1 2026, against a decline of 38.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $27 million (Q2 2026), $165 million (Q1 2026) and $28 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | - | 24.00 Mn |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.00 Mn |
| Jun 30, 2026 | 27.00 Mn |
| Mar 31, 2026 | 165.00 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 & Amortization - Total 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-amortization-total&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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-amortization-total&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();