Dynatrace (DT) Property, Plant & Equipment (Net) (2019 - 2026)
Dynatrace's Property, Plant & Equipment (Net) came in at $71.63 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 8.5% from $66 million a year earlier but down 1.9% from the prior quarter.
Dynatrace (DT) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Dynatrace's Property, Plant & Equipment (Net) was $72.99 million, up 18.6% from FY2025.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 14.6% (FY2021 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $61.52 million in FY2025 (+15.4%), $53.33 million in FY2024 (-0.5%), $53.58 million in FY2023 (+18.3%) and $45.27 million in FY2022 (+22.6%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $40.2 million (fiscal Q2 2022) to $72.99 million (fiscal Q4 2026).
- Year-over-year, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 18.3% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q3 2026 (growth of 37.0%), and the weakest in fiscal Q1 2025 (a decline of 5.8%).
- Business Quant data shows DT's Property, Plant & Equipment (Net) at $72.99 million (Q4 2026), $67.71 million (Q3 2026) and $66.08 million (Q2 2026) in the three fiscal quarters before Q1 2027.
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 | Dynatrace | 17.22 Bn | 12.43 Bn | 451.10 Mn | 71.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.63 Mn |
| Mar 31, 2026 | 72.99 Mn |
| Dec 31, 2025 | 67.71 Mn |
| Sep 30, 2025 | 66.08 Mn |
| Jun 30, 2025 | 66.00 Mn |
| Mar 31, 2025 | 61.52 Mn |
| Dec 31, 2024 | 49.43 Mn |
| Sep 30, 2024 | 52.65 Mn |
| Jun 30, 2024 | 51.21 Mn |
| Mar 31, 2024 | 53.33 Mn |
| Dec 31, 2023 | 49.41 Mn |
| Sep 30, 2023 | 46.95 Mn |
| Jun 30, 2023 | 54.38 Mn |
| Mar 31, 2023 | 53.58 Mn |
| Dec 31, 2022 | 50.53 Mn |
| Sep 30, 2022 | 45.72 Mn |
| Jun 30, 2022 | 45.78 Mn |
| Mar 31, 2022 | 45.27 Mn |
| Dec 31, 2021 | 41.98 Mn |
| Sep 30, 2021 | 40.20 Mn |
Dynatrace 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=DT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DT", "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=DT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();