American Superconductor (AMSC) Operating Expenses (2009 - 2025)
American Superconductor's Operating Expenses came in at $19.49 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 29.9% from $15.01 million a year earlier and up 11.6% from the prior quarter.
American Superconductor (AMSC) Operating Expenses (2009 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, American Superconductor reported Operating Expenses of $71.85 million, up 20.7% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $62.93 million, up 34.9% from FY2024.
- Operating Expenses has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $46.65 million in FY2024 (+12.3%), $41.53 million in FY2023 (+20.1%) and $34.58 million in FY2022.
- The fiscal Q3 2026 figure represents the highest quarterly Operating Expenses since fiscal Q4 2022.
- Year-over-year, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 27.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2025 (growth of 49.4%), and the weakest in fiscal Q4 2023 (a decline of 69.2%).
- Business Quant data shows AMSC's Operating Expenses at $17.47 million (Q2 2026), $18.85 million (Q1 2026) and $16.04 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 115.20 Mn |
| 10 | American Superconductor | 1.39 Bn | 683.45 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 19.49 Mn |
| Sep 30, 2025 | 17.47 Mn |
| Jun 30, 2025 | 18.85 Mn |
| Mar 31, 2025 | 16.04 Mn |
| Dec 31, 2024 | 15.01 Mn |
| Sep 30, 2024 | 16.37 Mn |
| Jun 30, 2024 | 15.52 Mn |
| Mar 31, 2024 | 12.66 Mn |
| Dec 31, 2023 | 11.42 Mn |
| Sep 30, 2023 | 10.96 Mn |
| Jun 30, 2023 | 11.62 Mn |
| Mar 31, 2023 | 10.65 Mn |
| Dec 31, 2022 | 9.73 Mn |
| Sep 30, 2022 | 10.06 Mn |
| Jun 30, 2022 | 11.09 Mn |
| Mar 31, 2022 | 34.58 Mn |
| Dec 31, 2021 | 7.95 Mn |
| Sep 30, 2021 | 7.56 Mn |
| Jun 30, 2021 | 10.87 Mn |
| Mar 31, 2021 | 40.62 Mn |
American Superconductor Operating Expenses 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=operating-expenses&ticker=AMSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AMSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();