Mattel (MAT) EBITDA (2009 - 2026)
Mattel (MAT) posted EBITDA of $59.6 million for Q2 2026, down 50.8% from $121.09 million a year earlier.
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Analysis
Mattel (MAT) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Mattel was $605.4 million, down 27.9% year-over-year; for FY2025, it came in at $714.41 million, down 17.1% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In prior years, Mattel's EBITDA was $862.25 million in FY2024 (+16.7%), $739 million in FY2023 (-13.8%), $857.69 million in FY2022 (-6.1%) and $913.88 million in FY2021 (+60.8%).
- Quarterly EBITDA has run from a low of -$71.84 million in Q1 2023 to a high of $529.24 million in Q3 2024 over five years.
- On a year-over-year basis, EBITDA increased in two of the last six quarters, with an average decline of 12.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 79.8%; the weakest was Q4 2022, with a decline of 59.1%.
- According to Business Quant data, EBITDA for the three prior quarters was -$58.72 million (Q1 2026), $183.09 million (Q4 2025) and $421.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 16.80 Bn | 14.39 Bn | 1.07 Bn | 304.20 Mn |
| 2 | Hasbro | 13.95 Bn | 9.72 Bn | 867.20 Mn | 284.50 Mn |
| 3 | Mattel | 4.88 Bn | 1.55 Bn | 542.12 Mn | 59.60 Mn |
| 4 | Acushnet Holdings | 4.74 Bn | 4.49 Bn | 445.83 Mn | 190.31 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 | 124.90 Mn |
| 7 | Peloton Interactive | 2.23 Bn | -2.39 Bn | 344.40 Mn | 95.10 Mn |
| 8 | Unusual Machines | 796.11 Mn | 332.60 Mn | 5.80 Mn | -7.76 Mn |
| 9 | Sturm Ruger | 736.90 Mn | 340.90 Mn | 33.74 Mn | 14.01 Mn |
| 10 | Smith & Wesson Brands | 661.82 Mn | 574.08 Mn | 32.27 Mn | 11.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.60 Mn |
| Mar 31, 2026 | -58.72 Mn |
| Dec 31, 2025 | 179.80 Mn |
| Sep 30, 2025 | 422.85 Mn |
| Jun 30, 2025 | 130.91 Mn |
| Mar 31, 2025 | -423,000.00 |
| Dec 31, 2024 | 208.87 Mn |
| Sep 30, 2024 | 543.00 Mn |
| Jun 30, 2024 | 143.81 Mn |
| Mar 31, 2024 | 13.23 Mn |
| Dec 31, 2023 | 194.37 Mn |
| Sep 30, 2023 | 521.96 Mn |
| Jun 30, 2023 | 105.52 Mn |
| Mar 31, 2023 | -68.90 Mn |
| Dec 31, 2022 | 142.86 Mn |
| Sep 30, 2022 | 437.43 Mn |
| Jun 30, 2022 | 170.56 Mn |
| Mar 31, 2022 | 125.28 Mn |
| Dec 31, 2021 | 313.70 Mn |
| Sep 30, 2021 | 434.71 Mn |
API Access
Mattel EBITDA 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=ebitda&ticker=MAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();