OPAL Fuels (OPAL) Finished Goods (2022)
OPAL Fuels (OPAL) recorded Finished Goods of $2.09 million in Q3 2022.
Analysis
OPAL Fuels (OPAL) Finished Goods (2022) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Plug Power | 2.60 Bn | 1.68 Bn | -1.68 Mn |
| 2 | Rex American Resources | 1.41 Bn | 57.46 Mn | 53.30 Mn |
| 3 | Green Plains | 1.04 Bn | 438.04 Mn | 113.03 Mn |
| 4 | Montauk Renewables | 401.08 Mn | 328.86 Mn | - |
| 5 | Clean Energy Fuels | 350.37 Mn | -305.43 Mn | 30.14 Mn |
| 6 | Gevo | 331.30 Mn | 48.28 Mn | 19.80 Mn |
| 7 | OPAL Fuels | 314.56 Mn | 47.17 Mn | 24.47 Mn |
| 8 | Aemetis | 133.29 Mn | 117.04 Mn | 13.52 Mn |
| 9 | Verde Clean Fuels | 50.79 Mn | -147.69 Mn | - |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - |
API Access
OPAL Fuels Finished Goods 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=finished-goods&ticker=OPAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "OPAL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=OPAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();