ASP Isotopes (ASPI) Operating Expenses (2022 - 2026)
ASP Isotopes' Operating Expenses was $35.68 million in Q2 2026, up 184.5% from $12.54 million a year earlier and up 34.3% from the prior quarter.
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Analysis
ASP Isotopes (ASPI) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, ASP Isotopes' Operating Expenses was $104.72 million through Jun 30, 2026, up 200.9% year-over-year; for FY2025, it came in at $63.31 million, up 126.5% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a four-year compound annual growth rate of 122.0% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $27.95 million in FY2024 (+72.8%), $16.18 million in FY2023 (+217.3%), $5.1 million in FY2022 (+95.5%) and $2.61 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2022.
- Compared with a year earlier, Operating Expenses has increased for 14 straight quarters, with growth averaging 130.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 35.9% in Q1 2025 to 425.1% in Q2 2023.
- Per Business Quant data, ASPI's Operating Expenses in the three quarters before Q2 2026 was $26.55 million (Q1 2026), $27.1 million (Q4 2025) and $15.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 99.60 Mn |
| 10 | ASP Isotopes | 344.89 Mn | -631.71 Mn | 1.48 Mn | 35.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.68 Mn |
| Mar 31, 2026 | 26.55 Mn |
| Dec 31, 2025 | 27.10 Mn |
| Sep 30, 2025 | 15.39 Mn |
| Jun 30, 2025 | 12.54 Mn |
| Mar 31, 2025 | 8.28 Mn |
| Dec 31, 2024 | 8.25 Mn |
| Sep 30, 2024 | 5.73 Mn |
| Jun 30, 2024 | 7.88 Mn |
| Mar 31, 2024 | 6.09 Mn |
| Dec 31, 2023 | 4.16 Mn |
| Sep 30, 2023 | 3.95 Mn |
| Jun 30, 2023 | 4.35 Mn |
| Mar 31, 2023 | 3.72 Mn |
| Dec 31, 2022 | 1.46 Mn |
| Sep 30, 2022 | 1.95 Mn |
| Jun 30, 2022 | 827,959.00 |
| Mar 31, 2022 | 858,253.00 |
API Access
ASP Isotopes Operating Expenses 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=operating-expenses&ticker=ASPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ASPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();