Aspen Aerogels (ASPN) Selling, General & Administrative (2013 - 2026)
Aspen Aerogels' Selling, General & Administrative was $12.98 million in Q2 2026, down 6.2% from $13.84 million a year earlier and down 15.1% from the prior quarter.
Aspen Aerogels (ASPN) Selling, General & Administrative (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aspen Aerogels' Selling, General & Administrative was $57.18 million through Jun 30, 2026, down 9.6% year-over-year; for FY2025, it was $55.77 million, down 21.6% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 28.9% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $71.13 million in FY2024 (+25.3%), $56.76 million in FY2023 (+47.4%), $38.5 million in FY2022 (+71.0%) and $22.51 million in FY2021 (+43.6%).
- The Q2 2026 figure marks the lowest quarterly Selling, General & Administrative since Q1 2023.
- Compared with a year earlier, Selling, General & Administrative was higher in three of the last eight quarters, with an average decline of 5.3%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2022 (growth of 86.5%); the worst was Q1 2025 (a decline of 24.3%).
- Per Business Quant data, ASPN's Selling, General & Administrative in the three quarters before Q2 2026 was $15.29 million (Q1 2026), $15.37 million (Q4 2025) and $13.53 million (Q3 2025).
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 | Aspen Aerogels | 472.20 Mn | -160.98 Mn | 3.26 Mn | 12.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.98 Mn |
| Mar 31, 2026 | 15.29 Mn |
| Dec 31, 2025 | 15.37 Mn |
| Sep 30, 2025 | 13.53 Mn |
| Jun 30, 2025 | 13.84 Mn |
| Mar 31, 2025 | 13.03 Mn |
| Dec 31, 2024 | 18.66 Mn |
| Sep 30, 2024 | 17.75 Mn |
| Jun 30, 2024 | 17.51 Mn |
| Mar 31, 2024 | 17.21 Mn |
| Dec 31, 2023 | 15.38 Mn |
| Sep 30, 2023 | 15.84 Mn |
| Jun 30, 2023 | 13.36 Mn |
| Mar 31, 2023 | 12.18 Mn |
| Dec 31, 2022 | 11.96 Mn |
| Sep 30, 2022 | 9.96 Mn |
| Jun 30, 2022 | 9.36 Mn |
| Mar 31, 2022 | 7.23 Mn |
| Dec 31, 2021 | 6.54 Mn |
| Sep 30, 2021 | 6.57 Mn |
Aspen Aerogels 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=ASPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ASPN", "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=ASPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();