Mattel (MAT) Operating Expenses (2009 - 2017)
Mattel (MAT) posted Operating Expenses of $454.42 million for Q4 2017, up 30.4% from $348.41 million a year earlier and up 19.0% from the prior quarter.
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Analysis
Mattel (MAT) Operating Expenses (2009 - 2017) Analysis & Trends
Since Q1 2009, Mattel has reported Operating Expenses for 36 quarters.
- Annual Operating Expenses shows a five-year compound annual growth rate of -4.8% (FY2012 to FY2017).
- In prior years, Mattel's Operating Expenses was $348.41 million in FY2016 (-15.4%), $411.97 million in FY2015 (-7.4%), $444.96 million in FY2014 (+14.5%) and $388.66 million in FY2013 (-33.0%).
- The Q4 2017 figure stands as the highest quarterly Operating Expenses since Q4 2012.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with an average decline of 0.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2017, with growth of 30.4%; the weakest was Q4 2013, with a decline of 33.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $381.76 million (Q3 2017), $352.94 million (Q2 2017) and $332.24 million (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.80 Bn | 14.39 Bn | 1.07 Bn | 909.20 Mn |
| 2 | Hasbro | 13.95 Bn | 9.72 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Mattel | 4.88 Bn | 1.55 Bn | 542.12 Mn | - |
| 4 | Acushnet Holdings | 4.74 Bn | 4.49 Bn | 445.83 Mn | 267.00 Mn |
| 5 | YETI Holdings | 3.15 Bn | 2.46 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.48 Bn | -67.44 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.23 Bn | -2.39 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 796.11 Mn | 332.60 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 736.90 Mn | 340.90 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Smith & Wesson Brands | 661.82 Mn | 574.08 Mn | 32.27 Mn | 28.05 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();