American Superconductor (AMSC) Cost of Revenue (2009 - 2026)
American Superconductor (AMSC) recorded Cost of Revenue of $69.35 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 44.9% from $47.87 million a year earlier and up 10.4% from the prior quarter.
American Superconductor (AMSC) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, American Superconductor's Cost of Revenue came in at $229.25 million as of Jun 30, 2026, up 26.8% year-over-year; for FY2026 (ended Mar 31, 2026), it was $207.78 million, up 29.1% from FY2025.
- Annual Cost of Revenue has increased for four straight fiscal years, with a four-year compound annual growth rate of 21.6% (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 Q1 2027 figure is the highest quarterly Cost of Revenue since fiscal Q4 2022.
- On a year-over-year basis, Cost of Revenue has increased for 11 consecutive quarters, with growth averaging 42.1% over the last eight quarters.
- 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 $62.81 million (Q4 2026), $51.68 million (Q3 2026) and $45.42 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 206.05 Bn | 157.15 Bn | 3.11 Bn | 9.54 Bn |
| 2 | Bloom Energy | 51.10 Bn | 41.00 Bn | 417.10 Mn | 818.73 Mn |
| 3 | First Solar | 21.63 Bn | 12.99 Bn | 713.06 Mn | 517.88 Mn |
| 4 | Nextpower | 15.87 Bn | 11.57 Bn | 345.32 Mn | 763.96 Mn |
| 5 | BWX Technologies | 10.96 Bn | 8.77 Bn | 227.14 Mn | 725.83 Mn |
| 6 | Generac Holdings | 10.36 Bn | 9.10 Bn | 516.04 Mn | 778.74 Mn |
| 7 | EnerSys | 5.36 Bn | 3.55 Bn | 313.36 Mn | 622.28 Mn |
| 8 | Mirion Technologies | 4.35 Bn | 2.71 Bn | 131.50 Mn | 146.30 Mn |
| 9 | Enphase Energy | 3.78 Bn | -535.47 Mn | 127.12 Mn | 166.21 Mn |
| 10 | American Superconductor | 1.13 Bn | 538.76 Mn | 26.53 Mn | 67.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 67.51 Mn |
| Jun 30, 2026 | 69.35 Mn |
| 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 |
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();