Procore Technologies (PCOR) Property, Plant & Equipment (Net) (2020 - 2026)
Procore Technologies' Property, Plant & Equipment (Net) came in at $50.54 million for Q2 2026, up 14.8% from $44.02 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Procore Technologies (PCOR) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Procore Technologies' Property, Plant & Equipment (Net) was $48.62 million, up 11.5% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $43.59 million in FY2024 (+20.2%), $36.26 million in FY2023 (-7.5%), $39.19 million in FY2022 (+6.4%) and $36.84 million in FY2021 (+21.8%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Year-over-year, Property, Plant & Equipment (Net) has increased for seven consecutive quarters, with growth averaging 16.3% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2022 (growth of 30.4%), and the weakest in Q2 2023 (a decline of 9.5%).
- Business Quant data shows PCOR's Property, Plant & Equipment (Net) at $48.31 million (Q1 2026), $48.62 million (Q4 2025) and $45.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | 50.23 Bn | 22.48 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 23.13 Bn | 19.90 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Ptc | 22.14 Bn | 20.96 Bn | 490.47 Mn | 62.84 Mn |
| 5 | Toast | 18.35 Bn | 11.02 Bn | 516.00 Mn | 149.00 Mn |
| 6 | Trimble | 13.97 Bn | 13.03 Bn | 674.90 Mn | 183.20 Mn |
| 7 | Manhattan Associates | 13.06 Bn | 12.06 Bn | 168.33 Mn | 24.61 Mn |
| 8 | Costar | 12.79 Bn | 6.74 Bn | 728.00 Mn | 1.44 Bn |
| 9 | Bentley Systems | 11.11 Bn | 10.57 Bn | 336.74 Mn | 42.37 Mn |
| 10 | Procore Technologies | 8.55 Bn | 5.85 Bn | 299.80 Mn | 50.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.54 Mn |
| Mar 31, 2026 | 48.31 Mn |
| Dec 31, 2025 | 48.62 Mn |
| Sep 30, 2025 | 45.72 Mn |
| Jun 30, 2025 | 44.02 Mn |
| Mar 31, 2025 | 43.72 Mn |
| Dec 31, 2024 | 43.59 Mn |
| Sep 30, 2024 | 35.95 Mn |
| Jun 30, 2024 | 34.90 Mn |
| Mar 31, 2024 | 35.42 Mn |
| Dec 31, 2023 | 36.26 Mn |
| Sep 30, 2023 | 37.38 Mn |
| Jun 30, 2023 | 37.12 Mn |
| Mar 31, 2023 | 38.28 Mn |
| Dec 31, 2022 | 39.19 Mn |
| Sep 30, 2022 | 40.67 Mn |
| Jun 30, 2022 | 41.04 Mn |
| Mar 31, 2022 | 40.05 Mn |
| Dec 31, 2021 | 36.84 Mn |
| Sep 30, 2021 | 32.99 Mn |
API Access
Procore Technologies 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=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PCOR", "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=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();