PureCycle Technologies (PCT) Long-Term Debt Repayments (2020 - 2026)
PureCycle Technologies (PCT) posted Long-Term Debt Repayments of $5.52 million for Q2 2026, up 14.3% from $4.83 million a year earlier and up 386.1% from the prior quarter.
PureCycle Technologies (PCT) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at PureCycle Technologies was $40.9 million, up 343.6% year-over-year; for FY2025, it was $39.08 million, down 85.0% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- In prior years, PureCycle Technologies' Long-Term Debt Repayments was $259.71 million in FY2024 and $592,000 in FY2023.
- Quarterly Long-Term Debt Repayments has run from a low of -$5.91 million in Q4 2023 to a high of $253.23 million in Q1 2024 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in four of the last five quarters, with growth averaging 232.4%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.14 million (Q1 2026), $30.88 million (Q4 2025) and $3.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 1.01 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 376.00 Mn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 500.00 Mn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | 23.80 Mn |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | - |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | -16.00 Mn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | - |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 366.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 359.00 Mn |
| 10 | PureCycle Technologies | 428.13 Mn | -314.46 Mn | -28.41 Mn | 242.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 242.17 Mn |
| Jun 30, 2026 | 5.52 Mn |
| Mar 31, 2026 | 1.14 Mn |
| Dec 31, 2025 | 30.88 Mn |
| Sep 30, 2025 | 3.37 Mn |
| Jun 30, 2025 | 4.83 Mn |
| Dec 31, 2024 | 2.89 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 2.09 Mn |
| Mar 31, 2024 | 253.23 Mn |
| Dec 31, 2023 | -5.91 Mn |
| Sep 30, 2023 | 6.50 Mn |
| Dec 31, 2021 | -91,000.00 |
| Sep 30, 2021 | 36,000.00 |
| Jun 30, 2021 | 55,000.00 |
| Dec 31, 2020 | 17.28 Mn |
| Sep 30, 2020 | 863,000.00 |
| Mar 31, 2020 | 600,000.00 |
PureCycle Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();