Plastec Technologies (PLTYF) EBITDA (2009 - 2016)
Plastec Technologies (PLTYF) recorded EBITDA of -$393,942 in FY2023, compared with -$413,148 in FY2022.
Analysis
Plastec Technologies (PLTYF) EBITDA (2009 - 2016) Analysis & Trends
Starting with FY2009, Plastec Technologies' EBITDA history includes 15 years.
- Annual EBITDA has ranged from -$1.83 million in FY2019 to -$277,005 in FY2021 over the past five years.
- Per Business Quant data, PLTYF's EBITDA was -$413,148 in FY2022, -$277,005 in FY2021, -$402,258 in FY2020 and -$1.83 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 174.92 Bn | 121.05 Bn | - | 2.85 Bn |
| 2 | Spdr Gold Trust | 136.71 Bn | -421.29 Bn | - | - |
| 3 | Blackstone | 88.22 Bn | 78.20 Bn | - | - |
| 4 | Brookfield | 83.92 Bn | -99.40 Bn | - | - |
| 5 | Kkr | 79.85 Bn | -3.72 Mn | - | 2.03 Bn |
| 6 | Brookfield Asset Management | 73.42 Bn | 68.22 Bn | - | 1.40 Bn |
| 7 | Apollo Global Management | 65.92 Bn | -16.87 Bn | 10.56 Bn | 2.23 Bn |
| 8 | Wheaton Precious Metals | 59.50 Bn | 54.92 Bn | 687.86 Mn | 789.87 Mn |
| 9 | Franco Nevada | 46.38 Bn | 43.74 Bn | 451.00 Mn | 529.70 Mn |
| 10 | Plastec Technologies | 258,762.55 | -28.50 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -30.74 Mn |
| Sep 30, 2016 | 15.89 Mn |
| Jun 30, 2016 | 6.72 Mn |
| Mar 31, 2016 | 9.95 Mn |
| Dec 31, 2015 | -25.09 Mn |
| Sep 30, 2015 | 10.09 Mn |
| Jun 30, 2015 | 7.16 Mn |
| Mar 31, 2015 | 8.57 Mn |
| Dec 31, 2014 | -22.38 Mn |
| Sep 30, 2014 | 8.85 Mn |
| Jun 30, 2014 | 6.32 Mn |
| Mar 31, 2014 | 12.42 Mn |
| Dec 31, 2013 | 6.68 Mn |
| Sep 30, 2013 | 4.51 Mn |
| Jun 30, 2013 | 8.66 Mn |
| Mar 31, 2013 | 7.12 Mn |
| Jul 31, 2012 | 7.28 Mn |
| Mar 31, 2012 | 5.76 Mn |
| Jan 31, 2012 | 5.19 Mn |
| Jul 31, 2011 | 10.16 Mn |
API Access
Plastec Technologies 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=ebitda&ticker=PLTYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=PLTYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();