PureCycle Technologies (PCT) Cash & Equivalents (2020 - 2026)
PureCycle Technologies (PCT) reported Cash & Equivalents of $177.29 million for Q2 2026, down 40.5% from $297.94 million a year earlier but up 77.1% from the prior quarter.
PureCycle Technologies (PCT) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, PureCycle Technologies posted Cash & Equivalents of $168.03 million, up 304.8% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $41.51 million in FY2024 (-86.3%), $302.51 million in FY2023 (+373.5%), $63.89 million in FY2022 (+91.2%) and $33.42 million in FY2021 (-48.2%).
- Five-year quarterly Cash & Equivalents spans a low of $23.46 million in Q2 2024 and a high of $302.51 million in Q4 2023.
- Year over year, Cash & Equivalents gained in three of the last seven quarters, with growth averaging 64.3%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2023 (growth of 373.5%); the low point was Q4 2024 (a decline of 86.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $100.12 million (Q1 2026), $168.03 million (Q4 2025) and $247.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.23 Bn | 216.81 Bn | 4.43 Bn | 4.90 Bn |
| 2 | Corning | 106.66 Bn | 99.22 Bn | 1.63 Bn | 2.50 Bn |
| 3 | Sherwin Williams | 82.20 Bn | 81.24 Bn | 3.34 Bn | 293.50 Mn |
| 4 | Air Products & Chemicals | 68.45 Bn | 63.64 Bn | 1.04 Bn | 980.50 Mn |
| 5 | LyondellBasell Industries | 42.89 Bn | 32.40 Bn | 2.04 Bn | 2.63 Bn |
| 6 | Nutrien | 33.91 Bn | 30.74 Bn | 3.25 Bn | 921.00 Mn |
| 7 | Ppg Industries | 24.62 Bn | 17.28 Bn | 1.81 Bn | 1.52 Bn |
| 8 | International Flavors & Fragrances | 23.96 Bn | 21.62 Bn | 853.00 Mn | 569.00 Mn |
| 9 | Dow | 23.51 Bn | 7.01 Bn | 2.17 Bn | 3.97 Bn |
| 10 | PureCycle Technologies | 511.27 Mn | -285.54 Mn | - | 177.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 177.29 Mn |
| Mar 31, 2026 | 100.12 Mn |
| Dec 31, 2025 | 168.03 Mn |
| Sep 30, 2025 | 247.25 Mn |
| Jun 30, 2025 | 297.94 Mn |
| Mar 31, 2025 | 37.46 Mn |
| Dec 31, 2024 | 41.51 Mn |
| Sep 30, 2024 | 93.65 Mn |
| Jun 30, 2024 | 23.46 Mn |
| Mar 31, 2024 | 39.94 Mn |
| Dec 31, 2023 | 302.51 Mn |
| Sep 30, 2023 | 199.35 Mn |
| Jun 30, 2023 | 28.89 Mn |
| Mar 31, 2023 | 38.38 Mn |
| Dec 31, 2022 | 63.89 Mn |
| Sep 30, 2022 | 56.45 Mn |
| Jun 30, 2022 | 118.50 Mn |
| Mar 31, 2022 | 198.20 Mn |
| Dec 31, 2021 | 33.42 Mn |
| Sep 30, 2021 | 36.70 Mn |
PureCycle Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=PCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();