Gevo (GEVO) Price to Earnings (2015)
Gevo's Price to Earnings came in at 5.27 for Q3 2015, down 4.0% from the prior quarter.
Analysis
Gevo (GEVO) Price to Earnings (2015) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Plug Power | 2.65 Bn | 1.74 Bn | -1.68 Mn |
| 2 | Rex American Resources | 1.44 Bn | 80.02 Mn | 53.30 Mn |
| 3 | Green Plains | 1.07 Bn | 468.18 Mn | 113.03 Mn |
| 4 | Montauk Renewables | 411.11 Mn | 338.89 Mn | - |
| 5 | Clean Energy Fuels | 343.76 Mn | -312.04 Mn | 30.14 Mn |
| 6 | Gevo | 323.88 Mn | 40.86 Mn | 19.80 Mn |
| 7 | OPAL Fuels | 304.08 Mn | 36.68 Mn | 24.47 Mn |
| 8 | Aemetis | 123.92 Mn | 107.68 Mn | 13.52 Mn |
| 9 | Verde Clean Fuels | 48.56 Mn | -149.91 Mn | - |
| 10 | Blue Biofuels | 32.35 Mn | 32.16 Mn | - |
API Access
Gevo Price to Earnings 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=price-to-earnings&ticker=GEVO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "GEVO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=GEVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();