PureCycle Technologies (PCT) Other Operating Expenses (2020 - 2026)
PureCycle Technologies (PCT) reported Other Operating Expenses of $34.82 million for Q2 2026, up 16.0% from $30.02 million a year earlier and up 10.9% from the prior quarter.
PureCycle Technologies (PCT) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, PureCycle Technologies' Other Operating Expenses came in at $137.32 million, up 42.5% year-over-year; for FY2025, it came in at $124.38 million, up 45.0% from FY2024.
- Other Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 70.6% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $85.76 million in FY2024 (+64.8%), $52.03 million in FY2023 (+119.3%), $23.72 million in FY2022 (+186.8%) and $8.27 million in FY2021 (-3.8%).
- Five-year quarterly Other Operating Expenses spans a low of $1.05 million in Q4 2021 and a high of $41.54 million in Q4 2025.
- Year over year, Other Operating Expenses has now increased in each of the last seven quarters, with growth averaging 36.4% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q4 2022 (growth of 548.4%); the low point was Q4 2021 (a decline of 33.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $31.39 million (Q1 2026), $41.54 million (Q4 2025) and $29.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn |
| 10 | PureCycle Technologies | 885.99 Mn | 885.99 Mn | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 2.69 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();