Teradata (TDC) Property, Plant & Equipment (Net) (2009 - 2026)
Teradata's Property, Plant & Equipment (Net) was $191 million in Q2 2026, down 6.8% from $205 million a year earlier and down 5.4% from the prior quarter.
Teradata (TDC) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Teradata came in at $198 million, up 7.0% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -10.2% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $185 million in FY2024 (-22.6%), $239 million in FY2023 (-2.0%), $244 million in FY2022 (-15.3%) and $288 million in FY2021 (-15.0%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q4 2024.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in three of the last eight quarters, with an average decline of 6.7%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2025 (growth of 7.0%); the worst was Q2 2022 (a decline of 23.4%).
- Per Business Quant data, TDC's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $202 million (Q1 2026), $198 million (Q4 2025) and $203 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Teradata | 2.80 Bn | 672.16 Mn | 243.00 Mn | 191.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.00 Mn |
| Mar 31, 2026 | 202.00 Mn |
| Dec 31, 2025 | 198.00 Mn |
| Sep 30, 2025 | 203.00 Mn |
| Jun 30, 2025 | 205.00 Mn |
| Mar 31, 2025 | 201.00 Mn |
| Dec 31, 2024 | 185.00 Mn |
| Sep 30, 2024 | 202.00 Mn |
| Jun 30, 2024 | 209.00 Mn |
| Mar 31, 2024 | 227.00 Mn |
| Dec 31, 2023 | 239.00 Mn |
| Sep 30, 2023 | 249.00 Mn |
| Jun 30, 2023 | 250.00 Mn |
| Mar 31, 2023 | 252.00 Mn |
| Dec 31, 2022 | 244.00 Mn |
| Sep 30, 2022 | 234.00 Mn |
| Jun 30, 2022 | 249.00 Mn |
| Mar 31, 2022 | 274.00 Mn |
| Dec 31, 2021 | 288.00 Mn |
| Sep 30, 2021 | 300.00 Mn |
Teradata Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();