American Superconductor (AMSC) Goodwill & Intangibles (2010 - 2026)
American Superconductor (AMSC) posted Goodwill & Intangibles of $188.92 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 206.1% from $61.71 million a year earlier and up 4.8% from the prior quarter.
American Superconductor (AMSC) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, American Superconductor has reported Goodwill & Intangibles for 65 quarters.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of 34.0% (FY2021 to FY2026).
- In prior fiscal years, American Superconductor's Goodwill & Intangibles was $61.71 million in FY2025 (+23.8%), $49.84 million in FY2024 (-4.2%), $52 million in FY2023 (-5.1%) and $54.78 million in FY2022 (+25.1%).
- The fiscal Q4 2026 figure stands as the highest quarterly Goodwill & Intangibles in data going back to fiscal Q4 2010.
- On a year-over-year basis, Goodwill & Intangibles increased in six of the last eight quarters, with growth averaging 59.3%.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q3 2026, with growth of 224.3%; the weakest was fiscal Q2 2026, with a decline of 5.1%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $180.23 million (Q3 2026), $53.41 million (Q2 2026) and $53.74 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn |
| 10 | American Superconductor | 1.43 Bn | 726.30 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 188.92 Mn |
| Dec 31, 2025 | 180.23 Mn |
| Sep 30, 2025 | 53.41 Mn |
| Jun 30, 2025 | 53.74 Mn |
| Mar 31, 2025 | 61.71 Mn |
| Dec 31, 2024 | 55.57 Mn |
| Sep 30, 2024 | 56.28 Mn |
| Jun 30, 2024 | 49.43 Mn |
| Mar 31, 2024 | 49.84 Mn |
| Dec 31, 2023 | 50.38 Mn |
| Sep 30, 2023 | 50.92 Mn |
| Jun 30, 2023 | 51.45 Mn |
| Mar 31, 2023 | 52.00 Mn |
| Dec 31, 2022 | 52.69 Mn |
| Sep 30, 2022 | 53.38 Mn |
| Jun 30, 2022 | 54.07 Mn |
| Mar 31, 2022 | 54.78 Mn |
| Dec 31, 2021 | 55.43 Mn |
| Sep 30, 2021 | 56.12 Mn |
| Jun 30, 2021 | 56.78 Mn |
American Superconductor Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=AMSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "AMSC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=goodwill-and-intangibles&ticker=AMSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();