ASP Isotopes (ASPI) Research & Development (2022 - 2026)
ASP Isotopes' Research & Development was $6.82 million in Q2 2026, up 675.5% from $880,000 a year earlier and up 29.7% from the prior quarter.
ASP Isotopes (ASPI) Research & Development (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, ASP Isotopes' Research & Development was $22.04 million through Jun 30, 2026, up 353.3% year-over-year; for FY2025, it came in at $12.36 million, up 293.7% from FY2024.
- Research & Development shows a four-year compound annual growth rate of 315.1% (FY2021 to FY2025).
- In earlier years, Research & Development was $3.14 million in FY2024 (+310.6%), $764,581 in FY2023 (-40.0%), $1.27 million in FY2022 and $41,610 in FY2021.
- Quarterly Research & Development has moved between $65,168 (Q4 2023) and $6.85 million (Q4 2025) over five years.
- Compared with a year earlier, Research & Development has increased for six straight quarters, with growth averaging 361.8% over the last seven quarters.
- The best year-over-year quarter for Research & Development over five years was Q2 2026 (growth of 675.5%); the worst was Q3 2023 (a decline of 67.9%).
- Per Business Quant data, ASPI's Research & Development in the three quarters before Q2 2026 was $5.26 million (Q1 2026), $6.85 million (Q4 2025) and $3.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.79 Bn | 217.37 Bn | 4.43 Bn | 37.00 Mn |
| 2 | Corning | 106.66 Bn | 99.23 Bn | 1.63 Bn | 299.00 Mn |
| 3 | Sherwin Williams | 84.26 Bn | 83.30 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 68.55 Bn | 63.74 Bn | 1.04 Bn | 21.50 Mn |
| 5 | LyondellBasell Industries | 42.27 Bn | 31.78 Bn | 2.04 Bn | 34.00 Mn |
| 6 | Nutrien | 33.55 Bn | 30.38 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 25.18 Bn | 17.84 Bn | 1.81 Bn | 107.00 Mn |
| 8 | International Flavors & Fragrances | 23.86 Bn | 21.52 Bn | 853.00 Mn | 170.00 Mn |
| 9 | Dow | 22.91 Bn | 6.41 Bn | 2.17 Bn | 207.00 Mn |
| 10 | ASP Isotopes | 255.86 Mn | -730.84 Mn | 1.48 Mn | 6.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.82 Mn |
| Mar 31, 2026 | 5.26 Mn |
| Dec 31, 2025 | 6.85 Mn |
| Sep 30, 2025 | 3.10 Mn |
| Jun 30, 2025 | 880,000.00 |
| Mar 31, 2025 | 1.53 Mn |
| Dec 31, 2024 | 1.42 Mn |
| Sep 30, 2024 | 1.03 Mn |
| Jun 30, 2024 | 473,302.00 |
| Mar 31, 2024 | 215,134.00 |
| Dec 31, 2023 | 65,168.00 |
| Sep 30, 2023 | 239,199.00 |
| Jun 30, 2023 | 252,880.00 |
| Mar 31, 2023 | 207,334.00 |
| Dec 31, 2022 | 81,635.00 |
| Sep 30, 2022 | 745,461.00 |
| Jun 30, 2022 | 153,389.00 |
| Mar 31, 2022 | 293,051.00 |
ASP Isotopes Research & Development 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=research-and-development&ticker=ASPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ASPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();