Mattel (MAT) Short term Debt (2009 - 2025)
Mattel's Short term Debt was $599.25 million in Q3 2025, up 0.1% from the prior quarter.
Analysis
Mattel (MAT) Short term Debt (2009 - 2025) Analysis & Trends
At the end of FY2017, Short term Debt at Mattel came in at $250 million.
- Short term Debt shows a five-year compound annual growth rate of -9.0% (FY2012 to FY2017).
- In earlier years, Short term Debt was $300 million in FY2015.
- The Q3 2025 figure marks the highest quarterly Short term Debt in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 599.25 Mn |
| Jun 30, 2025 | 598.87 Mn |
| Sep 30, 2022 | 250.00 Mn |
| Jun 30, 2022 | 250.00 Mn |
| Mar 31, 2022 | 250.00 Mn |
| Dec 31, 2017 | 250.00 Mn |
| Sep 30, 2017 | 250.00 Mn |
| Jun 30, 2017 | 250.00 Mn |
| Mar 31, 2017 | 250.00 Mn |
| Sep 30, 2016 | 300.00 Mn |
| Jun 30, 2016 | 300.00 Mn |
| Mar 31, 2016 | 300.00 Mn |
| Dec 31, 2015 | 300.00 Mn |
| Sep 30, 2013 | 50.00 Mn |
| Jun 30, 2013 | 50.00 Mn |
| Mar 31, 2013 | 50.00 Mn |
| Dec 31, 2012 | 400.00 Mn |
| Sep 30, 2012 | 350.00 Mn |
| Jun 30, 2012 | 400.00 Mn |
| Mar 31, 2012 | 400.00 Mn |
API Access
Mattel Short term Debt 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&ticker=MAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=MAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();