Aspen Aerogels (ASPN) Inventory (2013 - 2026)
Aspen Aerogels (ASPN) posted Inventory of $27.95 million for Q2 2026, down 46.4% from $52.12 million a year earlier and down 10.0% from the prior quarter.
Aspen Aerogels (ASPN) Inventory (2013 - 2026) Analysis & Trends
At the end of FY2025, Aspen Aerogels' Inventory came in at $38.25 million, down 19.6% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- In prior years, Aspen Aerogels' Inventory was $47.55 million in FY2024 (+21.3%), $39.19 million in FY2023 (+73.9%), $22.54 million in FY2022 (+88.0%) and $11.99 million in FY2021 (-8.5%).
- The Q2 2026 figure stands as the lowest quarterly Inventory since Q1 2023.
- On a year-over-year basis, Inventory has declined in each of the last five quarters, with an average decline of 4.9% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q3 2022, with growth of 112.1%; the weakest was Q2 2026, with a decline of 46.4%.
- According to Business Quant data, Inventory for the three prior quarters was $31.05 million (Q1 2026), $38.25 million (Q4 2025) and $43.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 2.12 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 3.43 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.53 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 751.60 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 4.44 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 4.08 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 6.16 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 730.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 1.67 Bn |
| 10 | Aspen Aerogels | 453.95 Mn | -179.24 Mn | 3.26 Mn | 27.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.95 Mn |
| Mar 31, 2026 | 31.05 Mn |
| Dec 31, 2025 | 38.25 Mn |
| Sep 30, 2025 | 43.04 Mn |
| Jun 30, 2025 | 52.12 Mn |
| Mar 31, 2025 | 56.74 Mn |
| Dec 31, 2024 | 47.55 Mn |
| Sep 30, 2024 | 47.43 Mn |
| Jun 30, 2024 | 53.03 Mn |
| Mar 31, 2024 | 45.75 Mn |
| Dec 31, 2023 | 39.19 Mn |
| Sep 30, 2023 | 34.42 Mn |
| Jun 30, 2023 | 33.29 Mn |
| Mar 31, 2023 | 27.01 Mn |
| Dec 31, 2022 | 22.54 Mn |
| Sep 30, 2022 | 20.60 Mn |
| Jun 30, 2022 | 17.00 Mn |
| Mar 31, 2022 | 15.51 Mn |
| Dec 31, 2021 | 11.99 Mn |
| Sep 30, 2021 | 9.71 Mn |
Aspen Aerogels Inventory 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=inventory&ticker=ASPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ASPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();