American Superconductor (AMSC) Enterprise Value (2009 - 2026)
American Superconductor's Enterprise Value came in at $1.47 billion for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 131.0% from $636.75 million a year earlier and up 19.7% from the prior quarter.
American Superconductor (AMSC) Enterprise Value (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), American Superconductor's Enterprise Value was $1.2 billion, up 87.8% from FY2025.
- Enterprise Value has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 21.6% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $636.75 million in FY2025 (+103.8%), $312.41 million in FY2024 (+156.8%), $121.68 million in FY2023 (-31.0%) and $176.47 million in FY2022 (-60.8%).
- The five-year range for quarterly Enterprise Value is $84.99 million (fiscal Q3 2023) to $2.47 billion (fiscal Q2 2026).
- Year-over-year, Enterprise Value has increased for 12 consecutive quarters, with growth averaging 177.2% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q1 2025 (growth of 378.7%), and the weakest in fiscal Q1 2023 (a decline of 73.8%).
- Business Quant data shows AMSC's Enterprise Value at $1.23 billion (Q3 2026), $2.47 billion (Q2 2026) and $1.45 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn |
| 10 | American Superconductor | 1.39 Bn | 683.45 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.47 Bn |
| Dec 31, 2025 | 1.23 Bn |
| Sep 30, 2025 | 2.47 Bn |
| Jun 30, 2025 | 1.45 Bn |
| Mar 31, 2025 | 636.75 Mn |
| Dec 31, 2024 | 896.69 Mn |
| Sep 30, 2024 | 858.96 Mn |
| Jun 30, 2024 | 802.28 Mn |
| Mar 31, 2024 | 312.41 Mn |
| Dec 31, 2023 | 318.42 Mn |
| Sep 30, 2023 | 206.09 Mn |
| Jun 30, 2023 | 167.58 Mn |
| Mar 31, 2023 | 121.68 Mn |
| Dec 31, 2022 | 84.99 Mn |
| Sep 30, 2022 | 100.26 Mn |
| Jun 30, 2022 | 114.62 Mn |
| Mar 31, 2022 | 176.47 Mn |
| Dec 31, 2021 | 265.73 Mn |
| Sep 30, 2021 | 365.50 Mn |
| Jun 30, 2021 | 437.39 Mn |
American Superconductor Enterprise Value 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=enterprise-value&ticker=AMSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AMSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();