Aspen Aerogels (ASPN) Total Current Liabilities (2013 - 2026)
Aspen Aerogels (ASPN) recorded Total Current Liabilities of $98.65 million in Q2 2026, up 26.4% from $78.05 million a year earlier and up 12.4% from the prior quarter.
Aspen Aerogels (ASPN) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Aspen Aerogels reported Total Current Liabilities of $62.03 million, down 43.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 34.8% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $110.11 million in FY2024 (+41.0%), $78.1 million in FY2023 (-1.1%), $78.95 million in FY2022 (+116.0%) and $36.56 million in FY2021 (+162.5%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Current Liabilities rose in five of the last eight quarters, with growth averaging 11.4%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 186.4% in Q3 2022, against a decline of 43.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $87.8 million (Q1 2026), $62.03 million (Q4 2025) and $70.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 16.13 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 6.02 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 9.63 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 4.58 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 10.79 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.11 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 1.44 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 1.41 Bn |
| 10 | Aspen Aerogels | 453.95 Mn | -179.24 Mn | 3.26 Mn | 98.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.65 Mn |
| Mar 31, 2026 | 87.80 Mn |
| Dec 31, 2025 | 62.03 Mn |
| Sep 30, 2025 | 70.74 Mn |
| Jun 30, 2025 | 78.05 Mn |
| Mar 31, 2025 | 81.43 Mn |
| Dec 31, 2024 | 110.11 Mn |
| Sep 30, 2024 | 104.30 Mn |
| Jun 30, 2024 | 83.43 Mn |
| Mar 31, 2024 | 63.58 Mn |
| Dec 31, 2023 | 78.10 Mn |
| Sep 30, 2023 | 61.26 Mn |
| Jun 30, 2023 | 65.63 Mn |
| Mar 31, 2023 | 68.83 Mn |
| Dec 31, 2022 | 78.95 Mn |
| Sep 30, 2022 | 80.96 Mn |
| Jun 30, 2022 | 71.20 Mn |
| Mar 31, 2022 | 46.20 Mn |
| Dec 31, 2021 | 36.56 Mn |
| Sep 30, 2021 | 28.27 Mn |
Aspen Aerogels Total Current Liabilities 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=total-current-liabilities&ticker=ASPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=ASPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();