ASP Isotopes (ASPI) Capital Expenditures (2022 - 2026)
ASP Isotopes (ASPI) recorded Capital Expenditures of $4.09 million in Q2 2026, up 127.3% from $1.8 million a year earlier but down 33.4% from the prior quarter.
ASP Isotopes (ASPI) Capital Expenditures (2022 - 2026) Analysis & Trends
On a TTM basis, ASP Isotopes' Capital Expenditures came in at $15.77 million as of Jun 30, 2026, up 59.1% year-over-year; for FY2025, it was $9.65 million, down 0.2% from FY2024.
- Annual Capital Expenditures has a four-year compound annual growth rate of 34.1% (FY2021 to FY2025).
- Across earlier years, Capital Expenditures came in at $9.68 million in FY2024 (+315.0%), $2.33 million in FY2023 (-47.9%), $4.47 million in FY2022 (+49.7%) and $2.99 million in FY2021.
- Quarterly Capital Expenditures has ranged from $146,551 in Q2 2023 to $6.14 million in Q1 2026 over the past five years.
- On a year-over-year basis, Capital Expenditures has increased for three consecutive quarters, with growth averaging 121.6% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 558.0% in Q3 2024, against a decline of 82.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.14 million (Q1 2026), $2.4 million (Q4 2025) and $3.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 1.44 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 422.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 108.40 Mn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 995.70 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 122.00 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 270.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | -491.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 90.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 68.60 Mn |
| 10 | ASP Isotopes | 344.89 Mn | -631.71 Mn | 1.48 Mn | 4.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.09 Mn |
| Mar 31, 2026 | 6.14 Mn |
| Dec 31, 2025 | 2.40 Mn |
| Sep 30, 2025 | 3.15 Mn |
| Jun 30, 2025 | 1.80 Mn |
| Mar 31, 2025 | 2.31 Mn |
| Dec 31, 2024 | 1.32 Mn |
| Sep 30, 2024 | 4.48 Mn |
| Jun 30, 2024 | 2.62 Mn |
| Mar 31, 2024 | 1.25 Mn |
| Dec 31, 2023 | 1.14 Mn |
| Sep 30, 2023 | 681,550.00 |
| Jun 30, 2023 | 146,551.00 |
| Mar 31, 2023 | 362,056.00 |
| Dec 31, 2022 | 902,532.00 |
| Sep 30, 2022 | 1.84 Mn |
| Jun 30, 2022 | 833,677.00 |
| Mar 31, 2022 | 898,918.00 |
ASP Isotopes Capital Expenditures 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=capital-expenditures&ticker=ASPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ASPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();