Mattel (MAT) Change in Accured Expenses (2009 - 2026)
Mattel (MAT) reported Change in Accured Expenses of $73.45 million for Q2 2026, compared with -$95.97 million a year earlier.
Mattel (MAT) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mattel's Change in Accured Expenses came in at $109.39 million, up 60.3% year-over-year; for FY2025, it was $65.43 million, up 31.9% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $49.59 million in FY2024 (-63.5%), $135.77 million in FY2023, -$341.61 million in FY2022 and $208.72 million in FY2021.
- Five-year quarterly Change in Accured Expenses spans a low of -$306.54 million in Q1 2026 and a high of $373.18 million in Q3 2021.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 107.9%.
- The high point for year-over-year Change in Accured Expenses in five years was Q4 2024 (growth of 462.0%); the low point was Q3 2022 (a decline of 73.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$306.54 million (Q1 2026), $59.24 million (Q4 2025) and $283.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | 13.00 Mn |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 65.80 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | - |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | 73.45 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | -39.90 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | -43.50 Mn |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 7.30 Mn |
| 10 | Smith & Wesson Brands | 656.45 Mn | 568.71 Mn | 32.27 Mn | -8.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.45 Mn |
| Mar 31, 2026 | -306.54 Mn |
| Dec 31, 2025 | 59.24 Mn |
| Sep 30, 2025 | 283.23 Mn |
| Jun 30, 2025 | -95.97 Mn |
| Mar 31, 2025 | -181.08 Mn |
| Dec 31, 2024 | 81.85 Mn |
| Sep 30, 2024 | 263.44 Mn |
| Jun 30, 2024 | -69.16 Mn |
| Mar 31, 2024 | -226.54 Mn |
| Dec 31, 2023 | 14.57 Mn |
| Sep 30, 2023 | 292.99 Mn |
| Jun 30, 2023 | 35.69 Mn |
| Mar 31, 2023 | -207.48 Mn |
| Dec 31, 2022 | -215.05 Mn |
| Sep 30, 2022 | 99.67 Mn |
| Jun 30, 2022 | -16.20 Mn |
| Mar 31, 2022 | -210.02 Mn |
| Dec 31, 2021 | 46.84 Mn |
| Sep 30, 2021 | 373.18 Mn |
Mattel Change in Accured 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=change-in-accured-expenses&ticker=MAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();