Aspen Aerogels (ASPN) Property, Plant & Equipment (Net) (2013 - 2026)
Aspen Aerogels' Property, Plant & Equipment (Net) came in at $83.61 million for Q2 2026, down 46.5% from $156.27 million a year earlier and down 10.8% from the prior quarter.
Aspen Aerogels (ASPN) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2025, Aspen Aerogels' Property, Plant & Equipment (Net) was $98.4 million, down 78.6% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $459.28 million in FY2024 (+10.1%), $417.23 million in FY2023 (+61.0%), $259.22 million in FY2022 (+364.7%) and $55.78 million in FY2021 (+19.3%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q1 2022.
- Year-over-year, Property, Plant & Equipment (Net) has declined for six consecutive quarters, with an average decline of 41.6% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2022 (growth of 364.7%), and the weakest in Q4 2025 (a decline of 78.6%).
- Business Quant data shows ASPN's Property, Plant & Equipment (Net) at $93.74 million (Q1 2026), $98.4 million (Q4 2025) and $154.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 29.17 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 14.93 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 4.22 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 25.00 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 15.69 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 22.67 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 1.78 Bn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 1.98 Bn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 4.02 Bn |
| 10 | Aspen Aerogels | 472.20 Mn | -160.98 Mn | 3.26 Mn | 83.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.61 Mn |
| Mar 31, 2026 | 93.74 Mn |
| Dec 31, 2025 | 98.40 Mn |
| Sep 30, 2025 | 154.37 Mn |
| Jun 30, 2025 | 156.27 Mn |
| Mar 31, 2025 | 179.28 Mn |
| Dec 31, 2024 | 459.28 Mn |
| Sep 30, 2024 | 451.57 Mn |
| Jun 30, 2024 | 437.97 Mn |
| Mar 31, 2024 | 422.74 Mn |
| Dec 31, 2023 | 417.23 Mn |
| Sep 30, 2023 | 385.03 Mn |
| Jun 30, 2023 | 368.27 Mn |
| Mar 31, 2023 | 312.07 Mn |
| Dec 31, 2022 | 259.22 Mn |
| Sep 30, 2022 | 210.11 Mn |
| Jun 30, 2022 | 122.21 Mn |
| Mar 31, 2022 | 77.72 Mn |
| Dec 31, 2021 | 55.78 Mn |
| Sep 30, 2021 | 46.71 Mn |
Aspen Aerogels Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ASPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ASPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();