Aspen Aerogels (ASPN) Capital Expenditures (2013 - 2026)
Aspen Aerogels (ASPN) posted Capital Expenditures of $1.8 million for Q2 2026, down 86.0% from $12.89 million a year earlier but up 31.8% from the prior quarter.
Aspen Aerogels (ASPN) Capital Expenditures (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Aspen Aerogels was $14.74 million, down 76.0% year-over-year; for FY2025, it was $37.45 million, down 56.6% from FY2024.
- Annual Capital Expenditures has declined for three consecutive years, though with a five-year compound annual growth rate of 61.4% (FY2020 to FY2025).
- In prior years, Aspen Aerogels' Capital Expenditures was $86.26 million in FY2024 (-50.8%), $175.46 million in FY2023 (-1.4%), $177.97 million in FY2022 and $13.78 million in FY2021 (+303.3%).
- Quarterly Capital Expenditures has run from a low of $1.37 million in Q1 2026 to a high of $66.99 million in Q3 2022 over five years.
- On a year-over-year basis, Capital Expenditures has declined in each of the last 12 quarters, with an average decline of 61.9% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q1 2022, with growth of 886.7%; the weakest was Q1 2026, with a decline of 89.5%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $1.37 million (Q1 2026), $2.46 million (Q4 2025) and $9.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 1.44 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 422.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 108.40 Mn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 995.70 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 122.00 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 270.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | -491.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 90.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 68.60 Mn |
| 10 | Aspen Aerogels | 453.95 Mn | -179.24 Mn | 3.26 Mn | 1.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.80 Mn |
| Mar 31, 2026 | 1.37 Mn |
| Dec 31, 2025 | 2.46 Mn |
| Sep 30, 2025 | 9.10 Mn |
| Jun 30, 2025 | 12.89 Mn |
| Mar 31, 2025 | 13.00 Mn |
| Dec 31, 2024 | 14.75 Mn |
| Sep 30, 2024 | 20.82 Mn |
| Jun 30, 2024 | 24.83 Mn |
| Mar 31, 2024 | 25.86 Mn |
| Dec 31, 2023 | 27.79 Mn |
| Sep 30, 2023 | 32.28 Mn |
| Jun 30, 2023 | 66.01 Mn |
| Mar 31, 2023 | 49.38 Mn |
| Dec 31, 2022 | 58.63 Mn |
| Sep 30, 2022 | 66.99 Mn |
| Jun 30, 2022 | 37.86 Mn |
| Mar 31, 2022 | 14.50 Mn |
| Dec 31, 2021 | 7.65 Mn |
| Sep 30, 2021 | 2.25 Mn |
Aspen Aerogels Capital Expenditures 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=capital-expenditures&ticker=ASPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ASPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();