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Mattel MAT North American Region — Long-Lived Assets

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Other financials

Income statement

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Revenue$1.1B+10.5%
Gross profit$542.1M+4.5%
Operating income$10.9M-86.1%
Net income-$18.2M-134%
EPS (diluted)-$0.06-138%

Balance sheet

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Cash & equivalents$523.9M-39.8%
Total debt$2.7B+2.4%
Total equity$2.0B-8.0%
Total assets$6.4B+1.7%

Cash flow

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Operating cash flow-$179.2M+40.3%
CapEx$42.3M+82.3%
Free cash flow-$221.5M+31.5%

Valuation

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Market cap$4.21B-24.6%
Enterprise value$6.43B-13.0%
P/E9.9×-0.8×
P/S0.8×-0.3×

Profitability

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Gross margin47.5%-3.9pp
Operating margin7.8%-4.8pp
Net margin7.8%-2.1pp
FCF margin9.3%-1.8pp

Returns & leverage

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Return on equity20.5%-4.9pp
Debt / equity1.4×+0.1×
Current ratio1.9×+0.3×

Where this comes from

Reported directly by Mattel in its filing.

Tagged under the XBRL concept us-gaap:NoncurrentAssets.

The source filing: Mattel’s 10-K, filed February 23, 2026.

Filed
Feb 23, 2026, 5:03 PM EST
Fiscal year
FY2025
Accession
0001628280-26-010716
Line itemDecember 31,2025December 31,2024December 31,2023
Long-Lived Assets
North America Region (b)$423,383$415,213$337,527
International Region486,180427,230441,187
Consolidated total$909,563$842,443$778,714

Item 8. Financial Statements and Supplementary Data.

FAQ

What is Mattel's north american region — long-lived assets?
Mattel (MAT) reported north american region — long-lived assets of $423.38M in Q4 2025.
How has Mattel's north american region — long-lived assets changed year-over-year?
Mattel's north american region — long-lived assets increased by 2.0% year-over-year, from $415.21M to $423.38M.
What does north american region — long-lived assets mean?
This metric measures the carrying value of non-current, tangible, and intangible assets located within the North American region, such as property, plant, equipment, and regional distribution infrastructure. It reflects the capital intensity required to support operations and supply chain logistics in this specific market. Investors use this to evaluate the asset base supporting regional revenue generation and to assess the efficiency of capital allocation within the geographic footprint.

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