PureCycle Technologies (PCT) Accumulated Expenses (2020 - 2026)
PureCycle Technologies' Accumulated Expenses came in at $26.47 million for Q2 2026, down 17.2% from $31.95 million a year earlier and down 45.3% from the prior quarter.
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Analysis
PureCycle Technologies (PCT) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, PureCycle Technologies' Accumulated Expenses was $50.62 million, down 0.5% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $50.89 million in FY2024 (+16.8%), $43.58 million in FY2023 (+19.0%), $36.63 million in FY2022 (-1.1%) and $37.06 million in FY2021 (+16.2%).
- The Q2 2026 figure represents the lowest quarterly Accumulated Expenses since Q1 2022.
- Year-over-year, Accumulated Expenses increased in three of the last eight quarters, with growth averaging 1.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2023 (growth of 88.7%), and the weakest in Q2 2022 (a decline of 33.6%).
- Business Quant data shows PCT's Accumulated Expenses at $48.4 million (Q1 2026), $50.62 million (Q4 2025) and $29.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn |
| 10 | PureCycle Technologies | 428.13 Mn | -314.46 Mn | -28.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.36 Mn |
| Jun 30, 2026 | 26.47 Mn |
| Mar 31, 2026 | 48.40 Mn |
| Dec 31, 2025 | 50.62 Mn |
| Sep 30, 2025 | 29.93 Mn |
| Jun 30, 2025 | 31.95 Mn |
| Mar 31, 2025 | 32.91 Mn |
| Dec 31, 2024 | 50.89 Mn |
| Sep 30, 2024 | 35.02 Mn |
| Jun 30, 2024 | 38.43 Mn |
| Mar 31, 2024 | 32.00 Mn |
| Dec 31, 2023 | 43.58 Mn |
| Sep 30, 2023 | 38.05 Mn |
| Jun 30, 2023 | 37.07 Mn |
| Mar 31, 2023 | 48.03 Mn |
| Dec 31, 2022 | 36.63 Mn |
| Sep 30, 2022 | 38.70 Mn |
| Jun 30, 2022 | 28.26 Mn |
| Mar 31, 2022 | 25.46 Mn |
| Dec 31, 2021 | 37.06 Mn |
API Access
PureCycle Technologies Accumulated 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=accumulated-expenses&ticker=PCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();