PureCycle Technologies (PCT) Total Current Liabilities (2020 - 2026)
PureCycle Technologies (PCT) recorded Total Current Liabilities of $100.21 million in Q2 2026, down 31.9% from $147.11 million a year earlier but up 17.1% from the prior quarter.
PureCycle Technologies (PCT) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, PureCycle Technologies reported Total Current Liabilities of $87.57 million, down 3.6% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 21.5% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $90.88 million in FY2024 (+63.4%), $55.61 million in FY2023 (+45.2%), $38.3 million in FY2022 (-0.4%) and $38.46 million in FY2021 (+16.3%).
- Quarterly Total Current Liabilities has ranged from $27.3 million in Q1 2022 to $147.11 million in Q2 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for three consecutive quarters, with growth averaging 56.8% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 208.8% in Q2 2025, against a decline of 38.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $85.56 million (Q1 2026), $87.57 million (Q4 2025) and $118.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 16.13 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 6.02 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 9.63 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 4.58 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 7.11 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 1.44 Bn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 5.23 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 1.41 Bn |
| 10 | PureCycle Technologies | 511.27 Mn | -285.54 Mn | - | 100.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.21 Mn |
| Mar 31, 2026 | 85.56 Mn |
| Dec 31, 2025 | 87.57 Mn |
| Sep 30, 2025 | 118.40 Mn |
| Jun 30, 2025 | 147.11 Mn |
| Mar 31, 2025 | 90.61 Mn |
| Dec 31, 2024 | 90.88 Mn |
| Sep 30, 2024 | 58.28 Mn |
| Jun 30, 2024 | 47.64 Mn |
| Mar 31, 2024 | 43.57 Mn |
| Dec 31, 2023 | 55.61 Mn |
| Sep 30, 2023 | 51.97 Mn |
| Jun 30, 2023 | 54.36 Mn |
| Mar 31, 2023 | 70.61 Mn |
| Dec 31, 2022 | 38.30 Mn |
| Sep 30, 2022 | 45.80 Mn |
| Jun 30, 2022 | 33.39 Mn |
| Mar 31, 2022 | 27.30 Mn |
| Dec 31, 2021 | 38.46 Mn |
| Sep 30, 2021 | 54.27 Mn |
PureCycle Technologies Total Current Liabilities 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=total-current-liabilities&ticker=PCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();