American Superconductor (AMSC) Cash & Equivalents (2009 - 2026)
American Superconductor's Cash & Equivalents was $143.71 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 30.9% from $207.89 million a year earlier but up 2.1% from the prior quarter.
American Superconductor (AMSC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at American Superconductor came in at $140.69 million, up 77.0% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of 15.7% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $79.49 million in FY2025 (-12.2%), $90.52 million in FY2024 (+287.5%), $23.36 million in FY2023 (-42.4%) and $40.58 million in FY2022 (-40.2%).
- Quarterly Cash & Equivalents has moved between $22.01 million (fiscal Q1 2024) and $212.89 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in six of the last eight quarters, with growth averaging 108.6%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q1 2025 (growth of 324.7%); the worst was fiscal Q3 2023 (a decline of 46.0%).
- Per Business Quant data, AMSC's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $140.69 million (Q4 2026), $141.07 million (Q3 2026) and $212.89 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 206.05 Bn | 157.15 Bn | 3.11 Bn | 16.76 Bn |
| 2 | Bloom Energy | 51.10 Bn | 41.00 Bn | 417.10 Mn | 2.49 Bn |
| 3 | First Solar | 21.63 Bn | 12.99 Bn | 713.06 Mn | 1.58 Bn |
| 4 | Nextpower | 15.87 Bn | 11.57 Bn | 345.32 Mn | 1.03 Bn |
| 5 | BWX Technologies | 10.96 Bn | 8.77 Bn | 227.14 Mn | 568.53 Mn |
| 6 | Generac Holdings | 10.36 Bn | 9.10 Bn | 516.04 Mn | 393.67 Mn |
| 7 | EnerSys | 5.36 Bn | 3.55 Bn | 313.36 Mn | 530.66 Mn |
| 8 | Mirion Technologies | 4.35 Bn | 2.71 Bn | 131.50 Mn | 408.70 Mn |
| 9 | Enphase Energy | 3.78 Bn | -535.47 Mn | 127.12 Mn | 380.40 Mn |
| 10 | American Superconductor | 1.13 Bn | 538.76 Mn | 26.53 Mn | 169.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 169.92 Mn |
| Jun 30, 2026 | 143.71 Mn |
| Mar 31, 2026 | 140.69 Mn |
| Dec 31, 2025 | 141.07 Mn |
| Sep 30, 2025 | 212.89 Mn |
| Jun 30, 2025 | 207.89 Mn |
| Mar 31, 2025 | 79.49 Mn |
| Dec 31, 2024 | 75.20 Mn |
| Sep 30, 2024 | 72.13 Mn |
| Jun 30, 2024 | 93.46 Mn |
| Mar 31, 2024 | 90.52 Mn |
| Dec 31, 2023 | 23.98 Mn |
| Sep 30, 2023 | 22.82 Mn |
| Jun 30, 2023 | 22.01 Mn |
| Mar 31, 2023 | 23.36 Mn |
| Dec 31, 2022 | 23.69 Mn |
| Sep 30, 2022 | 27.81 Mn |
| Jun 30, 2022 | 33.36 Mn |
| Mar 31, 2022 | 40.58 Mn |
| Dec 31, 2021 | 43.89 Mn |
American Superconductor Cash & Equivalents 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=cash-and-equivalents&ticker=AMSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AMSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();