Mattel (MAT) Net Long-Term Debt Issued (Repaid) (2009 - 2022)
Mattel's Net Long-Term Debt Issued (Repaid) was -$7.62 million in FY2025.
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Analysis
Mattel (MAT) Net Long-Term Debt Issued (Repaid) (2009 - 2022) Analysis & Trends
From FY2009 onward, Mattel has reported Net Long-Term Debt Issued (Repaid) for 13 years.
- The FY2025 figure marks the highest annual Net Long-Term Debt Issued (Repaid) since FY2017.
- Per Business Quant data, Net Long-Term Debt Issued (Repaid) in earlier years was -$250 million in FY2022 and -$391.08 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 18.10 Bn | 15.69 Bn | 1.07 Bn | 40.40 Mn |
| 2 | Hasbro | 17.03 Bn | 11.99 Bn | 1.21 Bn | -29.20 Mn |
| 3 | Acushnet Holdings | 5.01 Bn | 4.74 Bn | 321.99 Mn | -84.69 Mn |
| 4 | Mattel | 4.52 Bn | 1.20 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.43 Bn | 2.88 Bn | 322.52 Mn | -1.80 Mn |
| 6 | Callaway Golf | 3.12 Bn | 1.01 Bn | 226.70 Mn | -700,000.00 |
| 7 | Peloton Interactive | 2.61 Bn | -2.24 Bn | 342.60 Mn | -2.60 Mn |
| 8 | Sturm Ruger | 810.86 Mn | 394.30 Mn | 30.52 Mn | - |
| 9 | Smith & Wesson Brands | 677.49 Mn | 589.75 Mn | 32.27 Mn | 20.00 Mn |
| 10 | Unusual Machines | 674.07 Mn | -231.96 Mn | 4.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -250.00 Mn |
| Sep 30, 2021 | -289.18 Mn |
| Jun 30, 2021 | -2.88 Mn |
| Mar 31, 2021 | -99.02 Mn |
| Dec 31, 2019 | -19.65 Mn |
| Dec 31, 2018 | -3.75 Mn |
| Jun 30, 2018 | -500.00 Mn |
| Mar 31, 2018 | -250.00 Mn |
| Dec 31, 2017 | 988.62 Mn |
| Sep 30, 2014 | 1,000.00 |
| Dec 31, 2013 | -50.00 Mn |
| Mar 31, 2013 | 145.26 Mn |
| Dec 31, 2011 | -10.00 Mn |
| Dec 31, 2010 | -10.96 Mn |
| Dec 31, 2009 | -10.00 Mn |
API Access
Mattel Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=MAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=MAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();