American Superconductor (AMSC) Goodwill & Intangibles (2010 - 2026)
American Superconductor (AMSC) posted Goodwill & Intangibles of $189.36 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 252.3% from $53.74 million a year earlier and up 0.2% from the prior quarter.
American Superconductor (AMSC) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), American Superconductor's Goodwill & Intangibles came in at $188.92 million, up 206.1% from FY2025.
- 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 Q1 2027 figure stands as the highest quarterly Goodwill & Intangibles in data going back to fiscal Q4 2010.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last three quarters, with growth averaging 91.4% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q1 2027, with growth of 252.3%; 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 $188.92 million (Q4 2026), $180.23 million (Q3 2026) and $53.41 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 206.05 Bn | 157.15 Bn | 3.11 Bn |
| 2 | Bloom Energy | 51.10 Bn | 41.00 Bn | 417.10 Mn |
| 3 | First Solar | 21.63 Bn | 12.99 Bn | 713.06 Mn |
| 4 | Nextpower | 15.87 Bn | 11.57 Bn | 345.32 Mn |
| 5 | BWX Technologies | 10.96 Bn | 8.77 Bn | 227.14 Mn |
| 6 | Generac Holdings | 10.36 Bn | 9.10 Bn | 516.04 Mn |
| 7 | EnerSys | 5.36 Bn | 3.55 Bn | 313.36 Mn |
| 8 | Mirion Technologies | 4.35 Bn | 2.71 Bn | 131.50 Mn |
| 9 | Enphase Energy | 3.78 Bn | -535.47 Mn | 127.12 Mn |
| 10 | American Superconductor | 1.13 Bn | 538.76 Mn | 26.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 188.04 Mn |
| Jun 30, 2026 | 189.36 Mn |
| 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 |
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();