Aspen Aerogels (ASPN) Non-Current Assets (2013 - 2026)
Aspen Aerogels' Non-Current Assets came in at $144.44 million for Q2 2026, down 32.7% from $214.67 million a year earlier and down 7.7% from the prior quarter.
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Analysis
Aspen Aerogels (ASPN) Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Aspen Aerogels' Non-Current Assets was $164.63 million, down 66.1% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $485.7 million in FY2024 (+11.2%), $436.72 million in FY2023 (+59.5%), $273.73 million in FY2022 (+286.6%) and $70.8 million in FY2021 (+40.8%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q2 2022.
- Year-over-year, Non-Current Assets has declined for six consecutive quarters, with an average decline of 32.1% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q4 2022 (growth of 286.6%), and the weakest in Q4 2025 (a decline of 66.1%).
- Business Quant data shows ASPN's Non-Current Assets at $156.51 million (Q1 2026), $164.63 million (Q4 2025) and $212.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 74.17 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 22.04 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 19.95 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 35.48 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 25.29 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 22.82 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | - |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 11.44 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 2.46 Bn |
| 10 | Aspen Aerogels | 453.95 Mn | -179.24 Mn | 3.26 Mn | 144.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 144.44 Mn |
| Mar 31, 2026 | 156.51 Mn |
| Dec 31, 2025 | 164.63 Mn |
| Sep 30, 2025 | 212.48 Mn |
| Jun 30, 2025 | 214.67 Mn |
| Mar 31, 2025 | 211.09 Mn |
| Dec 31, 2024 | 485.70 Mn |
| Sep 30, 2024 | 476.73 Mn |
| Jun 30, 2024 | 460.09 Mn |
| Mar 31, 2024 | 442.88 Mn |
| Dec 31, 2023 | 436.72 Mn |
| Sep 30, 2023 | 404.78 Mn |
| Jun 30, 2023 | 389.04 Mn |
| Mar 31, 2023 | 324.70 Mn |
| Dec 31, 2022 | 273.73 Mn |
| Sep 30, 2022 | 229.14 Mn |
| Jun 30, 2022 | 142.65 Mn |
| Mar 31, 2022 | 92.96 Mn |
| Dec 31, 2021 | 70.80 Mn |
| Sep 30, 2021 | 60.54 Mn |
API Access
Aspen Aerogels Non-Current Assets 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=non-current-assets&ticker=ASPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ASPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();