Open Text (OTEX) Property, Plant & Equipment (Net) (2009 - 2026)
Open Text (OTEX) recorded Property, Plant & Equipment (Net) of $522.2 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 39.2% from $375.25 million a year earlier and up 33.5% from the prior quarter.
Open Text (OTEX) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
Starting with fiscal Q3 2009, Open Text's Property, Plant & Equipment (Net) history includes 69 quarters.
- Annual Property, Plant & Equipment (Net) has increased for five straight fiscal years, with a five-year compound annual growth rate of 17.5% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $375.25 million in FY2025 (+2.0%), $367.74 million in FY2024 (+3.0%), $356.9 million in FY2023 (+45.8%) and $244.71 million in FY2022 (+4.8%).
- The fiscal Q4 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q3 2009.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for 17 consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 49.5% in fiscal Q3 2023, against a decline of 5.2% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $391.18 million (Q3 2026), $389.37 million (Q2 2026) and $370.55 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 1.87 Bn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 86.30 Mn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 186.63 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 124.00 Mn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 254.71 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | 38.32 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 338.10 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 197.62 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 190.22 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 522.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 522.20 Mn |
| Mar 31, 2026 | 391.18 Mn |
| Dec 31, 2025 | 389.37 Mn |
| Sep 30, 2025 | 370.55 Mn |
| Jun 30, 2025 | 375.25 Mn |
| Mar 31, 2025 | 367.74 Mn |
| Dec 31, 2024 | 355.88 Mn |
| Sep 30, 2024 | 365.45 Mn |
| Jun 30, 2024 | 367.74 Mn |
| Mar 31, 2024 | 346.07 Mn |
| Dec 31, 2023 | 352.57 Mn |
| Sep 30, 2023 | 361.61 Mn |
| Jun 30, 2023 | 356.90 Mn |
| Mar 31, 2023 | 340.62 Mn |
| Dec 31, 2022 | 250.71 Mn |
| Sep 30, 2022 | 251.15 Mn |
| Jun 30, 2022 | 244.71 Mn |
| Mar 31, 2022 | 227.83 Mn |
| Dec 31, 2021 | 243.85 Mn |
| Sep 30, 2021 | 223.36 Mn |
Open Text 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=OTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "OTEX", "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=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();