Mattel (MAT) Selling, General & Administrative (2009 - 2017)
Mattel (MAT) reported Selling, General & Administrative 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.
Mattel (MAT) Selling, General & Administrative (2009 - 2017) Analysis & Trends
Dating back to Q1 2009, Mattel's Selling, General & Administrative record includes 36 quarters.
- Selling, General & Administrative has a five-year compound annual growth rate of -4.8% (FY2012 to FY2017).
- By year, Selling, General & Administrative came in at $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 ranks as the highest quarterly Selling, General & Administrative since Q4 2012.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with an average decline of 0.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2017 (growth of 30.4%); the low point was Q4 2013 (a decline of 33.0%).
- Per Business Quant data, the three quarters before Q4 2017 came in at $381.76 million (Q3 2017), $352.94 million (Q2 2017) and $332.24 million (Q1 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.10 Bn | 11.15 Bn | 1.07 Bn | -909.20 Mn |
| 2 | Hasbro | 12.69 Bn | 8.48 Bn | 867.20 Mn | 338.70 Mn |
| 3 | Acushnet Holdings | 4.87 Bn | 4.61 Bn | 445.83 Mn | 246.24 Mn |
| 4 | Mattel | 4.30 Bn | 972.25 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.02 Bn | 2.34 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 176.10 Mn |
| 7 | Peloton Interactive | 2.18 Bn | -2.44 Bn | 344.40 Mn | 116.20 Mn |
| 8 | Unusual Machines | 1.09 Bn | 625.04 Mn | 5.80 Mn | 10.80 Mn |
| 9 | Sturm Ruger | 697.45 Mn | 301.45 Mn | 33.74 Mn | 15.81 Mn |
| 10 | Smith & Wesson Brands | 646.14 Mn | 558.40 Mn | 32.27 Mn | 15.34 Mn |
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 |
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_KEY
import 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();