Mattel (MAT) Non Operating Interest Expenses (2009 - 2026)
Mattel (MAT) recorded Non Operating Interest Expenses of $31.76 million in Q2 2026, up 8.2% from $29.35 million a year earlier and up 2.2% from the prior quarter.
Mattel (MAT) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Mattel's Non Operating Interest Expenses came in at $122.93 million as of Jun 30, 2026, up 4.8% year-over-year; for FY2025, it came in at $118.68 million, down 0.1% from FY2024.
- Annual Non Operating Interest Expenses has declined for four straight years, with a five-year compound annual growth rate of -9.8% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $118.77 million in FY2024 (-4.0%), $123.79 million in FY2023 (-6.8%), $132.82 million in FY2022 (-47.7%) and $253.94 million in FY2021 (+28.0%).
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses since Q4 2022.
- On a year-over-year basis, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 0.5% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 8.2% in Q2 2026, against a decline of 74.7% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.08 million (Q1 2026), $30.68 million (Q4 2025) and $29.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.95 Bn | 15.54 Bn | 1.07 Bn | 20.00 Mn |
| 2 | Hasbro | 17.24 Bn | 12.20 Bn | 1.21 Bn | 42.70 Mn |
| 3 | Acushnet Holdings | 4.87 Bn | 4.59 Bn | 321.99 Mn | - |
| 4 | Mattel | 4.52 Bn | 1.20 Bn | 542.12 Mn | 31.76 Mn |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 3.08 Bn | 965.15 Mn | 226.70 Mn | -500,000.00 |
| 7 | Peloton Interactive | 2.53 Bn | -2.33 Bn | 342.60 Mn | 30.40 Mn |
| 8 | Sturm Ruger | 794.18 Mn | 377.63 Mn | 30.52 Mn | 117,000.00 |
| 9 | Smith & Wesson Brands | 654.88 Mn | 567.14 Mn | 32.27 Mn | 845,000.00 |
| 10 | Unusual Machines | 610.11 Mn | -295.92 Mn | 4.92 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.76 Mn |
| Mar 31, 2026 | 31.08 Mn |
| Dec 31, 2025 | 30.68 Mn |
| Sep 30, 2025 | 29.42 Mn |
| Jun 30, 2025 | 29.35 Mn |
| Mar 31, 2025 | 29.23 Mn |
| Dec 31, 2024 | 29.36 Mn |
| Sep 30, 2024 | 29.37 Mn |
| Jun 30, 2024 | 29.98 Mn |
| Mar 31, 2024 | 30.06 Mn |
| Dec 31, 2023 | 31.30 Mn |
| Sep 30, 2023 | 30.72 Mn |
| Jun 30, 2023 | 30.64 Mn |
| Mar 31, 2023 | 31.13 Mn |
| Dec 31, 2022 | 33.09 Mn |
| Sep 30, 2022 | 33.87 Mn |
| Jun 30, 2022 | 32.81 Mn |
| Mar 31, 2022 | 33.05 Mn |
| Dec 31, 2021 | 33.25 Mn |
| Sep 30, 2021 | 52.06 Mn |
Mattel Non Operating Interest Expenses 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-operating-interest-expenses&ticker=MAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=MAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();