Mattel (MAT) Short-Term Debt repayments (2009 - 2019)
Mattel's Short-Term Debt repayments came in at $4.18 million for FY2019.
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Analysis
Mattel (MAT) Short-Term Debt repayments (2009 - 2019) Analysis & Trends
Going back to FY2009, Mattel's Short-Term Debt repayments data covers 9 years.
- Short-Term Debt repayments carries a five-year compound annual growth rate of -0.5% (FY2014 to FY2019).
- The FY2019 figure represents the lowest annual Short-Term Debt repayments in data going back to FY2009.
- Per Business Quant, earlier years put Short-Term Debt repayments at $1.61 billion in FY2017 and $83.91 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.80 Bn | 14.39 Bn | 1.07 Bn | 40.40 Mn |
| 2 | Hasbro | 13.95 Bn | 9.72 Bn | 867.20 Mn | - |
| 3 | Mattel | 4.88 Bn | 1.55 Bn | 542.12 Mn | - |
| 4 | Acushnet Holdings | 4.74 Bn | 4.49 Bn | 445.83 Mn | - |
| 5 | YETI Holdings | 3.15 Bn | 2.46 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.48 Bn | -67.44 Mn | 306.70 Mn | - |
| 7 | Peloton Interactive | 2.23 Bn | -2.39 Bn | 344.40 Mn | - |
| 8 | Unusual Machines | 796.11 Mn | 332.60 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 736.90 Mn | 340.90 Mn | 33.74 Mn | - |
| 10 | Smith & Wesson Brands | 661.82 Mn | 574.08 Mn | 32.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 4.18 Mn |
| Dec 31, 2017 | 732.65 Mn |
| Sep 30, 2017 | 506.77 Mn |
| Jun 30, 2017 | 180.00 Mn |
| Mar 31, 2017 | 192.17 Mn |
| Sep 30, 2016 | 67.00 Mn |
| Mar 31, 2016 | 16.91 Mn |
| Mar 31, 2014 | 4.28 Mn |
| Mar 31, 2013 | 9.84 Mn |
| Mar 31, 2012 | 8.02 Mn |
| Dec 31, 2010 | 5.45 Mn |
| Mar 31, 2010 | 1.95 Mn |
| Dec 31, 2009 | 157.42 Mn |
| Sep 30, 2009 | 294.39 Mn |
API Access
Mattel Short-Term Debt repayments 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=short-term-debt-repayments&ticker=MAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=MAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();