PureCycle Technologies (PCT) Selling, General & Administrative (2020 - 2026)
PureCycle Technologies' Selling, General & Administrative came in at $9.61 million for Q2 2026, down 39.2% from $15.82 million a year earlier and down 25.9% from the prior quarter.
PureCycle Technologies (PCT) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, PureCycle Technologies reported Selling, General & Administrative of $51.73 million, up 2.2% year-over-year; for FY2025, it was $59.48 million, up 11.9% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $53.14 million in FY2024 (-3.8%), $55.26 million in FY2023 (+3.8%), $53.24 million in FY2022 (-7.6%) and $57.62 million in FY2021 (+106.0%).
- The Q2 2026 figure represents the lowest quarterly Selling, General & Administrative since Q4 2024.
- Year-over-year, Selling, General & Administrative increased in 1 of the last eight quarters, with an average decline of 0.3%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2021 (growth of 997.2%), and the weakest in Q4 2024 (a decline of 49.0%).
- Business Quant data shows PCT's Selling, General & Administrative at $12.97 million (Q1 2026), $18.8 million (Q4 2025) and $10.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 200.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 95.70 Mn |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 931.00 Mn |
| 10 | PureCycle Technologies | 861.88 Mn | 861.88 Mn | - | 9.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.61 Mn |
| Mar 31, 2026 | 12.97 Mn |
| Dec 31, 2025 | 18.80 Mn |
| Sep 30, 2025 | 10.35 Mn |
| Jun 30, 2025 | 15.82 Mn |
| Mar 31, 2025 | 13.75 Mn |
| Dec 31, 2024 | 8.26 Mn |
| Sep 30, 2024 | 12.79 Mn |
| Jun 30, 2024 | 16.14 Mn |
| Mar 31, 2024 | 15.96 Mn |
| Dec 31, 2023 | 16.19 Mn |
| Sep 30, 2023 | 12.96 Mn |
| Jun 30, 2023 | 13.41 Mn |
| Mar 31, 2023 | 12.70 Mn |
| Dec 31, 2022 | 11.16 Mn |
| Sep 30, 2022 | 14.38 Mn |
| Jun 30, 2022 | 12.95 Mn |
| Mar 31, 2022 | 14.75 Mn |
| Dec 31, 2021 | 18.24 Mn |
| Sep 30, 2021 | 24.49 Mn |
PureCycle Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=PCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();