Aspen Aerogels (ASPN) Depreciation & Amortization (CF) (2013 - 2026)
Aspen Aerogels' Depreciation & Amortization (CF) was $4.3 million in Q2 2026, down 25.9% from $5.8 million a year earlier and down 20.4% from the prior quarter.
Aspen Aerogels (ASPN) Depreciation & Amortization (CF) (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aspen Aerogels' Depreciation & Amortization (CF) was $43.3 million through Jun 30, 2026, up 93.9% year-over-year; for FY2025, it was $45.2 million, up 100.7% from FY2024.
- Depreciation & Amortization (CF) has now increased for three consecutive years, with a five-year compound annual growth rate of 34.7% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $22.53 million in FY2024 (+47.1%), $15.32 million in FY2023 (+66.1%), $9.22 million in FY2022 (-2.3%) and $9.44 million in FY2021 (-7.5%).
- The Q2 2026 figure marks the lowest quarterly Depreciation & Amortization (CF) since Q2 2023.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in four of the last eight quarters, with growth averaging 52.6%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q4 2025 (growth of 419.7%); the worst was Q2 2026 (a decline of 25.9%).
- Per Business Quant data, ASPN's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $5.4 million (Q1 2026), $28.2 million (Q4 2025) and $5.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 963.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 385.40 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 339.00 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 347.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 604.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 47.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 44.00 Mn |
| 10 | Aspen Aerogels | 453.95 Mn | -179.24 Mn | 3.26 Mn | 4.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.30 Mn |
| Mar 31, 2026 | 5.40 Mn |
| Dec 31, 2025 | 28.20 Mn |
| Sep 30, 2025 | 5.40 Mn |
| Jun 30, 2025 | 5.80 Mn |
| Mar 31, 2025 | 5.80 Mn |
| Dec 31, 2024 | 5.43 Mn |
| Sep 30, 2024 | 5.30 Mn |
| Jun 30, 2024 | 6.00 Mn |
| Mar 31, 2024 | 5.80 Mn |
| Dec 31, 2023 | 4.52 Mn |
| Sep 30, 2023 | 4.59 Mn |
| Jun 30, 2023 | 3.50 Mn |
| Mar 31, 2023 | 2.70 Mn |
| Dec 31, 2022 | 2.52 Mn |
| Sep 30, 2022 | 2.50 Mn |
| Jun 30, 2022 | 2.07 Mn |
| Mar 31, 2022 | 2.13 Mn |
| Dec 31, 2021 | 2.54 Mn |
| Sep 30, 2021 | 2.16 Mn |
Aspen Aerogels Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=ASPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=ASPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();