Mattel (MAT) Selling, General & Administrative (2009 - 2017)
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Analysis
Mattel (MAT) Selling, General & Administrative (2009 - 2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.86 Bn | 11.84 Bn | 1.21 Bn | 331.50 Mn |
| 2 | Amer Sports | 16.70 Bn | 14.31 Bn | 1.07 Bn | 909.20 Mn |
| 3 | Acushnet Holdings | 4.75 Bn | 4.47 Bn | 321.99 Mn | 217.28 Mn |
| 4 | Mattel | 4.32 Bn | 1.14 Bn | 989.60 Mn | - |
| 5 | Callaway Golf | 2.99 Bn | 879.46 Mn | 226.70 Mn | 166.30 Mn |
| 6 | YETI Holdings | 2.87 Bn | 2.42 Bn | 293.79 Mn | 232.82 Mn |
| 7 | King Resources Global | 2.61 Bn | 2.61 Bn | 7,651.00 | 65,494.00 |
| 8 | Peloton Interactive | 2.54 Bn | -2.31 Bn | 342.60 Mn | 92.40 Mn |
| 9 | Sturm Ruger | 807.22 Mn | 390.67 Mn | 30.52 Mn | 16.45 Mn |
| 10 | Smith & Wesson Brands | 702.64 Mn | 614.90 Mn | 32.27 Mn | 15.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 454.42 Mn |
| Sep 30, 2017 | 381.76 Mn |
| Jun 30, 2017 | 352.94 Mn |
| Mar 31, 2017 | 332.24 Mn |
| Dec 31, 2016 | 348.41 Mn |
| Sep 30, 2016 | 350.47 Mn |
| Jun 30, 2016 | 350.46 Mn |
| Mar 31, 2016 | 350.87 Mn |
| Dec 31, 2015 | 411.97 Mn |
| Sep 30, 2015 | 365.58 Mn |
| Jun 30, 2015 | 367.55 Mn |
| Mar 31, 2015 | 402.49 Mn |
| Dec 31, 2014 | 444.96 Mn |
| Sep 30, 2014 | 392.91 Mn |
| Jun 30, 2014 | 391.71 Mn |
| Mar 31, 2014 | 384.48 Mn |
| Dec 31, 2013 | 388.66 Mn |
| Sep 30, 2013 | 410.42 Mn |
| Jun 30, 2013 | 391.82 Mn |
| Mar 31, 2013 | 369.68 Mn |
API Access
Mattel Selling, General & Administrative 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=selling-general-and-administrative&ticker=MAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MAT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=MAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();