Aspen Aerogels (ASPN) Cash & Equivalents (2013 - 2026)
Aspen Aerogels' Cash & Equivalents came in at $151.71 million for Q2 2026, down 9.5% from $167.62 million a year earlier and down 12.8% from the prior quarter.
Aspen Aerogels (ASPN) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Aspen Aerogels' Cash & Equivalents was $156.86 million, down 29.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 56.9% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $220.88 million in FY2024 (+58.1%), $139.72 million in FY2023 (-50.3%), $281.34 million in FY2022 (+267.5%) and $76.56 million in FY2021 (+364.1%).
- The five-year range for quarterly Cash & Equivalents is $76.56 million (Q4 2021) to $281.34 million (Q4 2022).
- Year-over-year, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 29.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2021 (growth of 744.4%), and the weakest in Q1 2024 (a decline of 51.1%).
- Business Quant data shows ASPN's Cash & Equivalents at $173.9 million (Q1 2026), $156.86 million (Q4 2025) and $150.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 4.90 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 2.50 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 293.50 Mn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 980.50 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 2.63 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 921.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 961.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 783.00 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 1.52 Bn |
| 10 | Aspen Aerogels | 472.20 Mn | -160.98 Mn | 3.26 Mn | 151.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 151.71 Mn |
| Mar 31, 2026 | 173.90 Mn |
| Dec 31, 2025 | 156.86 Mn |
| Sep 30, 2025 | 150.72 Mn |
| Jun 30, 2025 | 167.62 Mn |
| Mar 31, 2025 | 192.04 Mn |
| Dec 31, 2024 | 220.88 Mn |
| Sep 30, 2024 | 113.50 Mn |
| Jun 30, 2024 | 91.40 Mn |
| Mar 31, 2024 | 101.50 Mn |
| Dec 31, 2023 | 139.72 Mn |
| Sep 30, 2023 | 94.64 Mn |
| Jun 30, 2023 | 134.30 Mn |
| Mar 31, 2023 | 207.54 Mn |
| Dec 31, 2022 | 281.34 Mn |
| Sep 30, 2022 | 102.40 Mn |
| Jun 30, 2022 | 162.20 Mn |
| Mar 31, 2022 | 205.20 Mn |
| Dec 31, 2021 | 76.56 Mn |
| Sep 30, 2021 | 95.53 Mn |
Aspen Aerogels Cash & Equivalents 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=cash-and-equivalents&ticker=ASPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ASPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();