American Superconductor (AMSC) Cost of Revenue (2009 - 2026)
American Superconductor (AMSC) recorded Cost of Revenue of -$144.17 million in fiscal Q4 2026 (quarter ended Mar 31, 2026), compared with $48.96 million a year earlier.
American Superconductor (AMSC) Cost of Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), American Superconductor reported Cost of Revenue of $800,000, down 99.5% from FY2025.
- Annual Cost of Revenue has a four-year compound annual growth rate of -69.7% (FY2022 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $160.96 million in FY2025 (+45.9%), $110.36 million in FY2024 (+13.2%), $97.46 million in FY2023 (+2.7%) and $94.94 million in FY2022.
- The fiscal Q4 2026 figure is the lowest quarterly Cost of Revenue in data going back to fiscal Q1 2010.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 70.6% in fiscal Q1 2026, against a decline of 70.6% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $51.68 million (Q3 2026), $45.42 million (Q2 2026) and $47.87 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn | 8.74 Bn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn | 709.79 Mn |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn | 451.19 Mn |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn | 651.70 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn | 599.32 Mn |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn | 699.32 Mn |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn | 622.28 Mn |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn | 116.84 Mn |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn | 133.70 Mn |
| 10 | American Superconductor | 1.43 Bn | 726.30 Mn | - | -144.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -144.17 Mn |
| Dec 31, 2025 | 51.68 Mn |
| Sep 30, 2025 | 45.42 Mn |
| Jun 30, 2025 | 47.87 Mn |
| Mar 31, 2025 | 48.96 Mn |
| Dec 31, 2024 | 45.08 Mn |
| Sep 30, 2024 | 38.86 Mn |
| Jun 30, 2024 | 28.07 Mn |
| Mar 31, 2024 | 31.60 Mn |
| Dec 31, 2023 | 29.37 Mn |
| Sep 30, 2023 | 25.42 Mn |
| Jun 30, 2023 | 23.97 Mn |
| Mar 31, 2023 | 27.93 Mn |
| Dec 31, 2022 | 23.36 Mn |
| Sep 30, 2022 | 25.71 Mn |
| Jun 30, 2022 | 20.46 Mn |
| Mar 31, 2022 | 94.94 Mn |
| Dec 31, 2021 | 23.23 Mn |
| Sep 30, 2021 | 24.65 Mn |
| Jun 30, 2021 | 22.05 Mn |
American Superconductor Cost of Revenue 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=cost-of-revenue&ticker=AMSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AMSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();