PureCycle Technologies (PCT) Other Operating Expenses (2020 - 2026)
PureCycle Technologies (PCT) posted Other Operating Expenses of $36.23 million for Q2 2026, up 15.3% from $31.43 million a year earlier and up 106.3% from the prior quarter.
PureCycle Technologies (PCT) Other Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at PureCycle Technologies was $81.06 million, down 8.0% year-over-year; for FY2025, it came in at $50.76 million, down 45.0% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 40.6% (FY2020 to FY2025).
- In prior years, PureCycle Technologies' Other Operating Expenses was $92.24 million in FY2024 (+238.2%), $27.28 million in FY2023 (-2.8%), $28.07 million in FY2022 (+525.0%) and $4.49 million in FY2021 (-51.4%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q1 2020.
- On a year-over-year basis, Other Operating Expenses increased in five of the last eight quarters, with growth averaging 32.9%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2022, with growth of 182.8%; the weakest was Q4 2025, with a decline of 54.9%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $17.57 million (Q1 2026), $12.48 million (Q4 2025) and $14.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn |
| 10 | PureCycle Technologies | 432.01 Mn | -310.58 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.76 Mn |
| Jun 30, 2026 | 34.82 Mn |
| Mar 31, 2026 | 31.39 Mn |
| Dec 31, 2025 | 41.54 Mn |
| Sep 30, 2025 | 29.57 Mn |
| Jun 30, 2025 | 30.02 Mn |
| Mar 31, 2025 | 24.00 Mn |
| Dec 31, 2024 | 25.38 Mn |
| Sep 30, 2024 | 16.97 Mn |
| Jun 30, 2024 | 22.22 Mn |
| Mar 31, 2024 | 21.19 Mn |
| Dec 31, 2023 | 15.99 Mn |
| Sep 30, 2023 | 17.05 Mn |
| Jun 30, 2023 | 11.61 Mn |
| Mar 31, 2023 | 7.37 Mn |
| Dec 31, 2022 | 6.78 Mn |
| Sep 30, 2022 | 6.45 Mn |
| Jun 30, 2022 | 6.45 Mn |
| Mar 31, 2022 | 4.05 Mn |
| Dec 31, 2021 | 1.05 Mn |
PureCycle Technologies Other Operating Expenses 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=other-operating-expenses&ticker=PCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();