American Superconductor (AMSC) Price to Earnings (2010 - 2025)
American Superconductor's Price to Earnings came in at 10.50 for fiscal Q3 2026 (quarter ended Dec 31, 2025), down 94.1% from the prior quarter.
Powered by 
Analysis
American Superconductor (AMSC) Price to Earnings (2010 - 2025) Analysis & Trends
For FY2025 (ended Mar 31, 2025), American Superconductor's Price to Earnings was 118.72.
- The fiscal Q3 2026 figure represents the lowest quarterly Price to Earnings since fiscal Q1 2020.
- Business Quant data shows AMSC's Price to Earnings at 177.21 (Q2 2026), 108.43 (Q1 2026) and 118.72 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.50 |
| Sep 30, 2025 | 177.21 |
| Jun 30, 2025 | 108.43 |
| Mar 31, 2025 | 118.72 |
| Sep 30, 2019 | 49.74 |
| Jun 30, 2019 | 7.16 |
| Mar 31, 2019 | 10.29 |
| Dec 31, 2018 | 8.20 |
| Sep 30, 2018 | 19.59 |
| Dec 31, 2010 | 382.67 |
| Sep 30, 2010 | 52.80 |
| Jun 30, 2010 | 51.46 |
| Mar 31, 2010 | 79.77 |
API Access
American Superconductor Price to Earnings 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=price-to-earnings&ticker=AMSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AMSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();