Greenpower Motor (GP) Price to Earnings (2020 - 2023)
Greenpower Motor's Price to Earnings came in at 5.33 for fiscal Q3 2024 (quarter ended Dec 31, 2023), up 8.1% from the prior quarter.
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Analysis
Greenpower Motor (GP) Price to Earnings (2020 - 2023) Analysis & Trends
For FY2023 (ended Mar 31, 2023), Greenpower Motor's Price to Earnings was 3.80, down 64.1% from FY2022.
- Going back by fiscal year, Price to Earnings was 10.56 in FY2022.
- The fiscal Q3 2024 figure represents the highest quarterly Price to Earnings since fiscal Q1 2023.
- Business Quant data shows GP's Price to Earnings at 4.93 (Q2 2024), 3.91 (Q1 2024) and 3.79 (Q4 2023) in the three fiscal quarters before Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Greenpower Motor | 2.13 Mn | 599,177.65 | 350,084.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 5.33 |
| Sep 30, 2023 | 4.93 |
| Jun 30, 2023 | 3.91 |
| Mar 31, 2023 | 3.79 |
| Jun 30, 2022 | 30.48 |
| Mar 31, 2022 | 17.44 |
| Dec 31, 2021 | 41.22 |
| Sep 30, 2021 | 55.22 |
| Jun 30, 2021 | 286.70 |
| Sep 30, 2020 | 5,104.93 |
API Access
Greenpower Motor 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=GP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "GP", "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=GP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();