Ptc (PTC) Property, Plant & Equipment (Net) (2009 - 2026)
Ptc's Property, Plant & Equipment (Net) came in at $62.84 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 3.5% from $65.1 million a year earlier but up 14.8% from the prior quarter.
Ptc (PTC) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Ptc's Property, Plant & Equipment (Net) was $60.84 million, down 19.1% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last six fiscal years, with a five-year compound annual growth rate of -9.7% (FY2020 to FY2025).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $75.19 million in FY2024 (-14.9%), $88.39 million in FY2023 (-9.9%), $98.1 million in FY2022 (-2.1%) and $100.24 million in FY2021 (-1.2%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $54.75 million (fiscal Q2 2026) to $100.24 million (fiscal Q4 2021).
- Year-over-year, Property, Plant & Equipment (Net) has declined for 27 consecutive quarters, with an average decline of 15.8% over the last eight quarters.
- Across the past five years, year-over-year decline in Property, Plant & Equipment (Net) ran from 1.0% in fiscal Q2 2023 to 19.5% in fiscal Q2 2026.
- Business Quant data shows PTC's Property, Plant & Equipment (Net) at $54.75 million (Q2 2026), $57.22 million (Q1 2026) and $60.84 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 149.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 62.84 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.20 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 42.62 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 24.61 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 1.44 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 42.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.84 Mn |
| Mar 31, 2026 | 54.75 Mn |
| Dec 31, 2025 | 57.22 Mn |
| Sep 30, 2025 | 60.84 Mn |
| Jun 30, 2025 | 65.10 Mn |
| Mar 31, 2025 | 68.05 Mn |
| Dec 31, 2024 | 71.07 Mn |
| Sep 30, 2024 | 75.19 Mn |
| Jun 30, 2024 | 77.54 Mn |
| Mar 31, 2024 | 81.81 Mn |
| Dec 31, 2023 | 85.39 Mn |
| Sep 30, 2023 | 88.39 Mn |
| Jun 30, 2023 | 89.18 Mn |
| Mar 31, 2023 | 92.00 Mn |
| Dec 31, 2022 | 95.14 Mn |
| Sep 30, 2022 | 98.10 Mn |
| Jun 30, 2022 | 90.82 Mn |
| Mar 31, 2022 | 92.90 Mn |
| Dec 31, 2021 | 96.85 Mn |
| Sep 30, 2021 | 100.24 Mn |
Ptc 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=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PTC", "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=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();