PureCycle Technologies (PCT) Total Non-Current Liabilities (2020 - 2026)
PureCycle Technologies' Total Non-Current Liabilities was $983.5 million in Q2 2026, up 12.4% from $874.79 million a year earlier and up 12.5% from the prior quarter.
PureCycle Technologies (PCT) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at PureCycle Technologies came in at $874.07 million, up 75.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $497.85 million in FY2024 (-16.6%), $597.08 million in FY2023 (+102.7%), $294.57 million in FY2022 (+6.3%) and $277.04 million in FY2021 (-6.2%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 47.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2025 (growth of 124.5%); the worst was Q3 2024 (a decline of 24.6%).
- Per Business Quant data, PCT's Total Non-Current Liabilities in the three quarters before Q2 2026 was $874.28 million (Q1 2026), $874.07 million (Q4 2025) and $858.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 19.27 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 5.45 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 22.10 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 27.37 Bn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 5.75 Bn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 3.41 Bn |
| 10 | PureCycle Technologies | 936.22 Mn | 936.22 Mn | - | 983.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 983.50 Mn |
| Mar 31, 2026 | 874.28 Mn |
| Dec 31, 2025 | 874.07 Mn |
| Sep 30, 2025 | 858.65 Mn |
| Jun 30, 2025 | 874.79 Mn |
| Mar 31, 2025 | 512.27 Mn |
| Dec 31, 2024 | 497.85 Mn |
| Sep 30, 2024 | 442.97 Mn |
| Jun 30, 2024 | 389.65 Mn |
| Mar 31, 2024 | 361.17 Mn |
| Dec 31, 2023 | 597.08 Mn |
| Sep 30, 2023 | 587.20 Mn |
| Jun 30, 2023 | 370.55 Mn |
| Mar 31, 2023 | 327.14 Mn |
| Dec 31, 2022 | 294.57 Mn |
| Sep 30, 2022 | 302.29 Mn |
| Jun 30, 2022 | 284.16 Mn |
| Mar 31, 2022 | 279.72 Mn |
| Dec 31, 2021 | 277.04 Mn |
| Sep 30, 2021 | 352.28 Mn |
PureCycle Technologies Total Non-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-non-current-liabilities&ticker=PCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();