PureCycle Technologies (PCT) Depreciation and Depletion (2020 - 2026)
PureCycle Technologies (PCT) posted Depreciation and Depletion of $7.37 million for Q2 2026, up 1.4% from $7.26 million a year earlier but down 0.2% from the prior quarter.
PureCycle Technologies (PCT) Depreciation and Depletion (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at PureCycle Technologies was $29.25 million, down 0.9% year-over-year; for FY2025, it was $29.12 million, down 7.0% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 72.6% (FY2020 to FY2025).
- In prior years, PureCycle Technologies' Depreciation and Depletion was $31.32 million in FY2024 (+96.5%), $15.94 million in FY2023 (+341.0%), $3.61 million in FY2022 (+57.1%) and $2.3 million in FY2021 (+21.1%).
- Quarterly Depreciation and Depletion has run from a low of $500,000 in Q3 2021 to a high of $9.26 million in Q1 2024 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in five of the last eight quarters, with growth averaging 3.7%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2024, with growth of 615.3%; the weakest was Q1 2025, with a decline of 20.6%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $7.38 million (Q1 2026), $7.25 million (Q4 2025) and $7.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | - |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 47.00 Mn |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | - |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 108.00 Mn |
| 10 | PureCycle Technologies | 861.88 Mn | 861.88 Mn | - | 7.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.37 Mn |
| Mar 31, 2026 | 7.38 Mn |
| Dec 31, 2025 | 7.25 Mn |
| Sep 30, 2025 | 7.26 Mn |
| Jun 30, 2025 | 7.26 Mn |
| Mar 31, 2025 | 7.35 Mn |
| Dec 31, 2024 | 7.47 Mn |
| Sep 30, 2024 | 7.43 Mn |
| Jun 30, 2024 | 7.17 Mn |
| Mar 31, 2024 | 9.26 Mn |
| Dec 31, 2023 | 6.17 Mn |
| Sep 30, 2023 | 5.67 Mn |
| Jun 30, 2023 | 2.80 Mn |
| Mar 31, 2023 | 1.29 Mn |
| Dec 31, 2022 | 1.01 Mn |
| Sep 30, 2022 | 900,000.00 |
| Jun 30, 2022 | 900,000.00 |
| Mar 31, 2022 | 818,000.00 |
| Dec 31, 2021 | 793,000.00 |
| Sep 30, 2021 | 500,000.00 |
PureCycle Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=PCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();