Greenbriar Sustainable Living (GEBRF) Price to Earnings (2021 - 2023)
Greenbriar Sustainable Living's (GEBRF) Price to Earnings stood at 12.01 in Q3 2023, up 438.9% from 2.23 a year earlier and up 55.5% from the prior quarter.
Greenbriar Sustainable Living (GEBRF) Price to Earnings (2021 - 2023) Analysis & Trends
For FY2022, Greenbriar Sustainable Living's Price to Earnings came in at 18.53, up 332.2% from FY2021.
- Across earlier years, Price to Earnings came in at 4.29 in FY2021 and 0.00 in FY2019.
- Quarterly Price to Earnings has ranged from 2.23 in Q3 2022 to 20.39 in Q4 2022 over the past five years.
- On a year-over-year basis, Price to Earnings has increased for four consecutive quarters, with growth averaging 260.4% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at 7.72 (Q2 2023), 10.03 (Q1 2023) and 20.39 (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn |
| 7 | Champion Homes | 4.87 Bn | 2.35 Bn | - |
| 8 | Cavco Industries | 4.53 Bn | 3.28 Bn | - |
| 9 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn |
| 10 | Greenbriar Sustainable Living | 14.71 Mn | 6.66 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 12.01 |
| Jun 30, 2023 | 7.72 |
| Mar 31, 2023 | 10.03 |
| Dec 31, 2022 | 20.39 |
| Sep 30, 2022 | 2.23 |
| Jun 30, 2022 | 4.21 |
| Mar 31, 2022 | 4.02 |
| Dec 31, 2021 | 4.33 |
Greenbriar Sustainable Living 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=GEBRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "GEBRF", "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=GEBRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();