Mattel (MAT) Operating Expenses (2009 - 2017)
Powered by 
Analysis
Mattel (MAT) Operating Expenses (2009 - 2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.51 Bn | 15.10 Bn | 1.07 Bn | 909.20 Mn |
| 2 | Hasbro | 16.75 Bn | 11.71 Bn | 1.21 Bn | 1.08 Bn |
| 3 | Acushnet Holdings | 4.79 Bn | 4.52 Bn | 321.99 Mn | 236.71 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.98 Bn | 868.19 Mn | 226.70 Mn | 182.00 Mn |
| 7 | Peloton Interactive | 2.49 Bn | -2.37 Bn | 342.60 Mn | 226.20 Mn |
| 8 | Sturm Ruger | 799.29 Mn | 382.73 Mn | 30.52 Mn | 24.54 Mn |
| 9 | Smith & Wesson Brands | 647.27 Mn | 559.52 Mn | 32.27 Mn | 28.05 Mn |
| 10 | Unusual Machines | 592.37 Mn | -313.66 Mn | 4.92 Mn | 13.28 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 Operating Expenses 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=operating-expenses&ticker=MAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();