Plastec Technologies (PLTYF) EV to EBITDA (2011 - 2016)
Plastec Technologies' EV to EBITDA came in at 39.07 for FY2018.
Analysis
Plastec Technologies (PLTYF) EV to EBITDA (2011 - 2016) Analysis & Trends
Going back to FY2011, Plastec Technologies' EV to EBITDA data covers 7 years.
- The FY2018 figure represents the highest annual EV to EBITDA in data going back to FY2011.
- Per Business Quant, earlier years put EV to EBITDA at -0.99 in FY2016, 1.82 in FY2015 (+190.2%) and 0.63 in FY2014 (-76.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 175.97 Bn | 122.10 Bn | - |
| 2 | Spdr Gold Trust | 136.95 Bn | -421.05 Bn | - |
| 3 | Blackstone | 87.72 Bn | 77.70 Bn | - |
| 4 | Brookfield | 84.10 Bn | -99.22 Bn | - |
| 5 | Kkr | 80.38 Bn | 524.67 Mn | - |
| 6 | Brookfield Asset Management | 73.73 Bn | 68.54 Bn | - |
| 7 | Apollo Global Management | 66.57 Bn | -16.22 Bn | 10.56 Bn |
| 8 | Wheaton Precious Metals | 59.87 Bn | 55.29 Bn | 687.86 Mn |
| 9 | Franco Nevada | 46.81 Bn | 44.17 Bn | 451.00 Mn |
| 10 | Plastec Technologies | 258,762.55 | -28.50 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -1.04 |
| Sep 30, 2016 | -11.50 |
| Jun 30, 2016 | 51.65 |
| Mar 31, 2016 | 24.12 |
| Dec 31, 2015 | 54.30 |
| Sep 30, 2015 | 11.85 |
| Jun 30, 2015 | 10.18 |
| Mar 31, 2015 | 9.64 |
| Dec 31, 2014 | 3.06 |
| Sep 30, 2014 | 0.63 |
| Jun 30, 2014 | 0.66 |
| Mar 31, 2014 | 0.51 |
| Dec 31, 2013 | 1.33 |
| Sep 30, 2013 | 1.93 |
| Jun 30, 2013 | 1.64 |
| Mar 31, 2013 | 2.09 |
| Jul 31, 2012 | 1.77 |
| Mar 31, 2012 | 1.26 |
| Jan 31, 2012 | 0.67 |
| Jul 31, 2011 | 0.58 |
API Access
Plastec Technologies EV to EBITDA 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=ev-to-ebitda&ticker=PLTYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=PLTYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();