PureCycle Technologies (PCT) Property, Plant & Equipment (Net) (2020 - 2026)
PureCycle Technologies' Property, Plant & Equipment (Net) came in at $663.59 million for Q2 2026, up 0.7% from $658.97 million a year earlier and up 0.5% from the prior quarter.
PureCycle Technologies (PCT) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, PureCycle Technologies' Property, Plant & Equipment (Net) was $657.75 million, down 2.4% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 54.8% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $674.08 million in FY2024 (+5.5%), $638.75 million in FY2023 (+26.3%), $505.72 million in FY2022 (+124.6%) and $225.21 million in FY2021 (+204.1%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- Year-over-year, Property, Plant & Equipment (Net) increased in six of the last eight quarters, with growth averaging 1.7%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2021 (growth of 204.1%), and the weakest in Q4 2025 (a decline of 2.4%).
- Business Quant data shows PCT's Property, Plant & Equipment (Net) at $660.27 million (Q1 2026), $657.75 million (Q4 2025) and $655.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 29.17 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 14.93 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 4.22 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 25.00 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 15.69 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 22.67 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 1.78 Bn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 1.98 Bn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 4.02 Bn |
| 10 | PureCycle Technologies | 881.97 Mn | 881.97 Mn | - | 663.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 663.59 Mn |
| Mar 31, 2026 | 660.27 Mn |
| Dec 31, 2025 | 657.75 Mn |
| Sep 30, 2025 | 655.97 Mn |
| Jun 30, 2025 | 658.97 Mn |
| Mar 31, 2025 | 667.90 Mn |
| Dec 31, 2024 | 674.08 Mn |
| Sep 30, 2024 | 645.39 Mn |
| Jun 30, 2024 | 646.01 Mn |
| Mar 31, 2024 | 642.02 Mn |
| Dec 31, 2023 | 638.75 Mn |
| Sep 30, 2023 | 625.93 Mn |
| Jun 30, 2023 | 628.82 Mn |
| Mar 31, 2023 | 579.59 Mn |
| Dec 31, 2022 | 505.72 Mn |
| Sep 30, 2022 | 438.59 Mn |
| Jun 30, 2022 | 345.59 Mn |
| Mar 31, 2022 | 266.31 Mn |
| Dec 31, 2021 | 225.21 Mn |
| Sep 30, 2021 | 189.22 Mn |
PureCycle 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=PCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PCT", "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=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();