American Superconductor (AMSC) Accumulated Expenses (2014)
American Superconductor (AMSC) reported Accumulated Expenses of $10.63 million for fiscal Q2 2015 (quarter ended Sep 30, 2014).
Analysis
American Superconductor (AMSC) Accumulated Expenses (2014) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn |
| 10 | American Superconductor | 1.39 Bn | 683.45 Mn | - |
API Access
American Superconductor Accumulated 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=accumulated-expenses&ticker=AMSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AMSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();