Plastec Technologies (PLTYF) Cost of Revenue (2009 - 2016)
Plastec Technologies (PLTYF) recorded Cost of Revenue of $1.28 million in Q4 2016, down 95.8% from $30.63 million a year earlier and down 96.5% from the prior quarter.
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Analysis
Plastec Technologies (PLTYF) Cost of Revenue (2009 - 2016) Analysis & Trends
For FY2016, Plastec Technologies reported Cost of Revenue of $100.24 million, down 19.1% from FY2015.
- Annual Cost of Revenue has a five-year compound annual growth rate of -0.5% (FY2011 to FY2016).
- Across earlier years, Cost of Revenue came in at $123.9 million in FY2015 (+6.7%), $116.1 million in FY2014, $1.81 million in FY2013 (-98.3%) and $104.13 million in FY2012 (+1.1%).
- The Q4 2016 figure is the lowest quarterly Cost of Revenue since Q4 2013.
- On a year-over-year basis, Cost of Revenue rose in six of the last eight quarters, with an average decline of 6.6%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 19.0% in Q2 2015, against a decline of 95.8% in Q4 2016 at the low end.
- Per Business Quant, the preceding three quarters came in at $36.88 million (Q3 2016), $34.06 million (Q2 2016) and $28.01 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 173.27 Bn | 119.63 Bn | - | - |
| 2 | Spdr Gold Trust | 129.05 Bn | -428.96 Bn | - | - |
| 3 | Blackstone | 88.78 Bn | 83.71 Bn | - | - |
| 4 | Brookfield | 85.33 Bn | -97.75 Bn | - | - |
| 5 | Kkr | 82.00 Bn | 48.48 Bn | - | - |
| 6 | Brookfield Asset Management | 75.12 Bn | 71.37 Bn | - | - |
| 7 | Apollo Global Management | 64.96 Bn | 2.65 Bn | 10.56 Bn | 594.00 Mn |
| 8 | Wheaton Precious Metals | 54.88 Bn | 50.30 Bn | 687.86 Mn | 241.35 Mn |
| 9 | Franco Nevada | 44.09 Bn | 41.46 Bn | 451.00 Mn | 129.90 Mn |
| 10 | Plastec Technologies | 258,762.55 | -28.50 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 1.28 Mn |
| Sep 30, 2016 | 36.88 Mn |
| Jun 30, 2016 | 34.06 Mn |
| Mar 31, 2016 | 28.01 Mn |
| Dec 31, 2015 | 30.63 Mn |
| Sep 30, 2015 | 33.19 Mn |
| Jun 30, 2015 | 32.64 Mn |
| Mar 31, 2015 | 28.23 Mn |
| Dec 31, 2014 | 29.56 Mn |
| Sep 30, 2014 | 32.87 Mn |
| Jun 30, 2014 | 27.44 Mn |
| Mar 31, 2014 | 26.88 Mn |
| Dec 31, 2013 | 27.75 Mn |
| Sep 30, 2013 | 29.25 Mn |
| Jun 30, 2013 | 28.81 Mn |
| Mar 31, 2013 | 30.14 Mn |
| Sep 30, 2012 | 39.97 Mn |
| Jul 31, 2012 | 41.34 Mn |
| Mar 31, 2012 | 30.37 Mn |
| Jan 31, 2012 | 29.49 Mn |
API Access
Plastec Technologies Cost of Revenue 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=cost-of-revenue&ticker=PLTYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PLTYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();