Teradata (TDC) Depreciation & Amortization (CF) (2009 - 2026)
Teradata (TDC) recorded Depreciation & Amortization (CF) of $23 million in Q2 2026, unchanged from $23 million a year earlier and down 8.0% from the prior quarter.
Teradata (TDC) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, Teradata's Depreciation & Amortization (CF) came in at $95 million as of Jun 30, 2026, up 5.6% year-over-year; for FY2025, it was $90 million, down 10.0% from FY2024.
- Annual Depreciation & Amortization (CF) has declined for five straight years, with a five-year compound annual growth rate of -12.1% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $100 million in FY2024 (-13.8%), $116 million in FY2023 (-13.4%), $134 million in FY2022 (-10.1%) and $149 million in FY2021 (-13.4%).
- Quarterly Depreciation & Amortization (CF) has ranged from $20 million in Q1 2025 to $40 million in Q1 2022 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in two of the last eight quarters, with an average decline of 5.7%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 25.0% in Q1 2026, against a decline of 30.0% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $25 million (Q1 2026), $23 million (Q4 2025) and $24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 341.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 82.08 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 41.40 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 68.63 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 19.49 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 12.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 32.46 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Teradata | 2.68 Bn | 552.19 Mn | 243.00 Mn | 23.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.00 Mn |
| Mar 31, 2026 | 25.00 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 24.00 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 20.00 Mn |
| Dec 31, 2024 | 22.00 Mn |
| Sep 30, 2024 | 25.00 Mn |
| Jun 30, 2024 | 26.00 Mn |
| Mar 31, 2024 | 27.00 Mn |
| Dec 31, 2023 | 30.00 Mn |
| Sep 30, 2023 | 27.00 Mn |
| Jun 30, 2023 | 31.00 Mn |
| Mar 31, 2023 | 28.00 Mn |
| Dec 31, 2022 | 33.00 Mn |
| Sep 30, 2022 | 28.00 Mn |
| Jun 30, 2022 | 33.00 Mn |
| Mar 31, 2022 | 40.00 Mn |
| Dec 31, 2021 | 36.00 Mn |
| Sep 30, 2021 | 37.00 Mn |
Teradata Depreciation & Amortization (CF) 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-cf&ticker=TDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "TDC", "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-cf&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();