PureCycle Technologies (PCT) Capital Expenditures (2020 - 2026)
PureCycle Technologies' Capital Expenditures was $31.74 million in Q2 2026, up 268.9% from $8.61 million a year earlier and up 824.9% from the prior quarter.
PureCycle Technologies (PCT) Capital Expenditures (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, PureCycle Technologies' Capital Expenditures was $52.41 million through Jun 30, 2026, down 3.8% year-over-year; for FY2025, it came in at $40.85 million, down 26.5% from FY2024.
- Capital Expenditures has now declined for three consecutive years, though with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $55.58 million in FY2024 (-63.9%), $153.9 million in FY2023 (-46.4%), $287.19 million in FY2022 (+109.0%) and $137.39 million in FY2021 (+360.8%).
- The Q2 2026 figure marks the highest quarterly Capital Expenditures since Q2 2023.
- Compared with a year earlier, Capital Expenditures was higher in three of the last eight quarters, with growth averaging 15.7%.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2022 (growth of 351.1%); the worst was Q2 2024 (a decline of 86.6%).
- Per Business Quant data, PCT's Capital Expenditures in the three quarters before Q2 2026 was $3.43 million (Q1 2026), $13.34 million (Q4 2025) and $3.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 1.44 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 422.00 Mn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 108.40 Mn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 995.70 Mn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 270.00 Mn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | -491.00 Mn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 90.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 113.00 Mn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 68.60 Mn |
| 10 | PureCycle Technologies | 511.27 Mn | -285.54 Mn | - | 31.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.74 Mn |
| Mar 31, 2026 | 3.43 Mn |
| Dec 31, 2025 | 13.34 Mn |
| Sep 30, 2025 | 3.90 Mn |
| Jun 30, 2025 | 8.61 Mn |
| Mar 31, 2025 | 15.00 Mn |
| Dec 31, 2024 | 21.60 Mn |
| Sep 30, 2024 | 9.27 Mn |
| Jun 30, 2024 | 10.37 Mn |
| Mar 31, 2024 | 14.35 Mn |
| Dec 31, 2023 | 11.22 Mn |
| Sep 30, 2023 | 18.44 Mn |
| Jun 30, 2023 | 77.61 Mn |
| Mar 31, 2023 | 46.63 Mn |
| Dec 31, 2022 | 75.09 Mn |
| Sep 30, 2022 | 85.03 Mn |
| Jun 30, 2022 | 74.89 Mn |
| Mar 31, 2022 | 52.18 Mn |
| Dec 31, 2021 | 49.24 Mn |
| Sep 30, 2021 | 37.66 Mn |
PureCycle Technologies Capital Expenditures 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=capital-expenditures&ticker=PCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();