ASP Isotopes (ASPI) Selling, General & Administrative (2022 - 2026)
ASP Isotopes' Selling, General & Administrative came in at $28.85 million for Q2 2026, up 147.4% from $11.66 million a year earlier and up 35.5% from the prior quarter.
ASP Isotopes (ASPI) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ASP Isotopes reported Selling, General & Administrative of $79.97 million, up 167.1% year-over-year; for FY2025, it was $48.24 million, up 94.4% from FY2024.
- Selling, General & Administrative has increased in each of the last four years, with a four-year compound annual growth rate of 108.2% (FY2021 to FY2025).
- Going back by year, Selling, General & Administrative was $24.81 million in FY2024 (+61.0%), $15.42 million in FY2023 (+303.0%), $3.83 million in FY2022 (+49.1%) and $2.57 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q1 2022.
- Year-over-year, Selling, General & Administrative has increased for 14 consecutive quarters, with growth averaging 105.9% over the last eight quarters.
- The year-over-year growth in Selling, General & Administrative has ranged between 14.8% (Q1 2025) and 522.3% (Q1 2023) over the last five years.
- Business Quant data shows ASPI's Selling, General & Administrative at $21.29 million (Q1 2026), $17.54 million (Q4 2025) and $12.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 200.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 95.70 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 931.00 Mn |
| 10 | ASP Isotopes | 378.73 Mn | -597.88 Mn | 1.48 Mn | 28.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.85 Mn |
| Mar 31, 2026 | 21.29 Mn |
| Dec 31, 2025 | 17.54 Mn |
| Sep 30, 2025 | 12.29 Mn |
| Jun 30, 2025 | 11.66 Mn |
| Mar 31, 2025 | 6.75 Mn |
| Dec 31, 2024 | 6.84 Mn |
| Sep 30, 2024 | 4.69 Mn |
| Jun 30, 2024 | 7.41 Mn |
| Mar 31, 2024 | 5.88 Mn |
| Dec 31, 2023 | 4.10 Mn |
| Sep 30, 2023 | 3.71 Mn |
| Jun 30, 2023 | 4.09 Mn |
| Mar 31, 2023 | 3.52 Mn |
| Dec 31, 2022 | 1.38 Mn |
| Sep 30, 2022 | 1.21 Mn |
| Jun 30, 2022 | 674,570.00 |
| Mar 31, 2022 | 565,202.00 |
ASP Isotopes Selling, General & Administrative 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=selling-general-and-administrative&ticker=ASPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ASPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();