Teradata (TDC) Capital Expenditures (2009 - 2026)
Teradata's Capital Expenditures came in at $1 million for Q2 2026, down 75.0% from $4 million a year earlier and down 90.0% from the prior quarter.
Teradata (TDC) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Teradata reported Capital Expenditures of $25 million, up 25.0% year-over-year; for FY2025, it was $19 million, down 20.8% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $24 million in FY2024 (+26.3%), $19 million in FY2023 (+35.7%), $14 million in FY2022 (-50.0%) and $28 million in FY2021 (-36.4%).
- The five-year range for quarterly Capital Expenditures is $1 million (Q1 2022) to $10 million (Q1 2026).
- Year-over-year, Capital Expenditures increased in four of the last eight quarters, with growth averaging 101.7%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q1 2026 (growth of 900.0%), and the weakest in Q1 2025 (a decline of 83.3%).
- Business Quant data shows TDC's Capital Expenditures at $10 million (Q1 2026), $9 million (Q4 2025) and $5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Teradata | 2.67 Bn | 539.17 Mn | 243.00 Mn | 1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 10.00 Mn |
| Dec 31, 2025 | 9.00 Mn |
| Sep 30, 2025 | 5.00 Mn |
| Jun 30, 2025 | 4.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 7.00 Mn |
| Sep 30, 2024 | 8.00 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 8.00 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | 8.00 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Sep 30, 2021 | 10.00 Mn |
Teradata Capital Expenditures 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=capital-expenditures&ticker=TDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();