ASP Isotopes (ASPI) Property, Plant & Equipment (Net) (2021 - 2026)
ASP Isotopes (ASPI) recorded Property, Plant & Equipment (Net) of $42.13 million in Q2 2026, up 52.6% from $27.6 million a year earlier but down 54.1% from the prior quarter.
ASP Isotopes (ASPI) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2025, ASP Isotopes reported Property, Plant & Equipment (Net) of $33.29 million, up 48.9% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for four straight years, with a four-year compound annual growth rate of 82.7% (FY2021 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $22.35 million in FY2024 (+108.7%), $10.71 million in FY2023 (+30.6%), $8.2 million in FY2022 (+174.4%) and $2.99 million in FY2021.
- Quarterly Property, Plant & Equipment (Net) has ranged from $2.99 million in Q4 2021 to $91.8 million in Q1 2026 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for 12 consecutive quarters, with growth averaging 101.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 21.1% (Q3 2023) to 261.7% (Q1 2026).
- Per Business Quant, the preceding three quarters came in at $91.8 million (Q1 2026), $33.29 million (Q4 2025) and $30.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 29.17 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 14.93 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 4.22 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 25.00 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 15.69 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 22.67 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 1.78 Bn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 1.98 Bn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 4.02 Bn |
| 10 | ASP Isotopes | 378.73 Mn | -597.88 Mn | 1.48 Mn | 42.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.13 Mn |
| Mar 31, 2026 | 91.80 Mn |
| Dec 31, 2025 | 33.29 Mn |
| Sep 30, 2025 | 30.93 Mn |
| Jun 30, 2025 | 27.60 Mn |
| Mar 31, 2025 | 25.38 Mn |
| Dec 31, 2024 | 22.35 Mn |
| Sep 30, 2024 | 22.98 Mn |
| Jun 30, 2024 | 17.77 Mn |
| Mar 31, 2024 | 14.36 Mn |
| Dec 31, 2023 | 10.71 Mn |
| Sep 30, 2023 | 8.35 Mn |
| Jun 30, 2023 | 7.74 Mn |
| Mar 31, 2023 | 8.01 Mn |
| Dec 31, 2022 | 8.20 Mn |
| Sep 30, 2022 | 6.89 Mn |
| Dec 31, 2021 | 2.99 Mn |
ASP Isotopes Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ASPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "ASPI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=ASPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();