Aspen Aerogels (ASPN) Research & Development (2013 - 2026)
Aspen Aerogels' Research & Development was $3.2 million in Q2 2026, down 15.8% from $3.79 million a year earlier but up 17.3% from the prior quarter.
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Analysis
Aspen Aerogels (ASPN) Research & Development (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aspen Aerogels' Research & Development was $11.21 million through Jun 30, 2026, down 34.5% year-over-year; for FY2025, it came in at $13.42 million, down 25.7% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $18.05 million in FY2024 (+10.4%), $16.36 million in FY2023 (-3.4%), $16.93 million in FY2022 (+48.0%) and $11.44 million in FY2021 (+31.1%).
- Quarterly Research & Development has moved between $2.49 million (Q3 2025) and $4.69 million (Q3 2022) over five years.
- Compared with a year earlier, Research & Development has declined for six straight quarters, with an average decline of 17.3% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q2 2022 (growth of 70.4%); the worst was Q3 2025 (a decline of 45.7%).
- Per Business Quant data, ASPN's Research & Development in the three quarters before Q2 2026 was $2.72 million (Q1 2026), $2.8 million (Q4 2025) and $2.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 37.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 299.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 21.50 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 388.00 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 34.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | - |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 98.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | - |
| 10 | Aspen Aerogels | 453.95 Mn | -179.24 Mn | 3.26 Mn | 3.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.20 Mn |
| Mar 31, 2026 | 2.72 Mn |
| Dec 31, 2025 | 2.80 Mn |
| Sep 30, 2025 | 2.49 Mn |
| Jun 30, 2025 | 3.79 Mn |
| Mar 31, 2025 | 4.33 Mn |
| Dec 31, 2024 | 4.41 Mn |
| Sep 30, 2024 | 4.59 Mn |
| Jun 30, 2024 | 4.57 Mn |
| Mar 31, 2024 | 4.49 Mn |
| Dec 31, 2023 | 4.08 Mn |
| Sep 30, 2023 | 4.22 Mn |
| Jun 30, 2023 | 3.96 Mn |
| Mar 31, 2023 | 4.10 Mn |
| Dec 31, 2022 | 4.20 Mn |
| Sep 30, 2022 | 4.69 Mn |
| Jun 30, 2022 | 4.45 Mn |
| Mar 31, 2022 | 3.59 Mn |
| Dec 31, 2021 | 3.31 Mn |
| Sep 30, 2021 | 3.08 Mn |
API Access
Aspen Aerogels 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=ASPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ASPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();