Plastec Technologies (PLTYF) Price to Earnings (2011 - 2016)
Plastec Technologies' (PLTYF) Price to Earnings stood at 12.53 in FY2019, up 351.9% from 2.77 in FY2018.
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Analysis
Plastec Technologies (PLTYF) Price to Earnings (2011 - 2016) Analysis & Trends
Starting with FY2011, Plastec Technologies' Price to Earnings history includes 9 years.
- The FY2019 figure is the highest annual Price to Earnings since FY2011.
- Per Business Quant data, PLTYF's Price to Earnings was 2.77 in FY2018 (-4.3%), 2.90 in FY2017 (+316.8%), 0.70 in FY2016 (-88.5%) and 6.07 in FY2015 (+56.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 176.32 Bn | 122.67 Bn | - |
| 2 | Spdr Gold Trust | 129.90 Bn | -428.11 Bn | - |
| 3 | Blackstone | 89.36 Bn | 84.29 Bn | - |
| 4 | Brookfield | 86.01 Bn | -97.08 Bn | - |
| 5 | Kkr | 83.57 Bn | 50.05 Bn | - |
| 6 | Brookfield Asset Management | 76.11 Bn | 72.36 Bn | - |
| 7 | Apollo Global Management | 66.07 Bn | 3.75 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 56.02 Bn | 51.45 Bn | 687.86 Mn |
| 9 | Franco Nevada | 44.70 Bn | 42.06 Bn | 451.00 Mn |
| 10 | Plastec Technologies | 258,762.55 | -28.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 0.68 |
| Sep 30, 2016 | 5.47 |
| Jun 30, 2016 | 5.35 |
| Mar 31, 2016 | 6.21 |
| Dec 31, 2015 | 5.96 |
| Sep 30, 2015 | 4.77 |
| Jun 30, 2015 | 4.32 |
| Mar 31, 2015 | 4.62 |
| Dec 31, 2014 | 3.89 |
| Sep 30, 2014 | 4.78 |
| Jun 30, 2014 | 6.02 |
| Mar 31, 2014 | 4.39 |
| Dec 31, 2013 | 7.76 |
| Sep 30, 2013 | 7.87 |
| Jun 30, 2013 | 6.19 |
| Mar 31, 2013 | 10.55 |
| Sep 30, 2012 | 7.77 |
| Jul 31, 2012 | 24.03 |
| Mar 31, 2012 | 9.25 |
| Jan 31, 2012 | 4.11 |
API Access
Plastec Technologies 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=PLTYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "PLTYF", "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=PLTYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();