Mattel (MAT) Depreciation and Depletion (2009 - 2026)
Mattel (MAT) posted Depreciation and Depletion of $33.89 million for Q2 2026, down 2.3% from $34.7 million a year earlier but up 0.6% from the prior quarter.
Mattel (MAT) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Mattel was $135.33 million, down 1.0% year-over-year; for FY2025, it was $136.47 million, down 0.1% from FY2024.
- Annual Depreciation and Depletion has declined for eight consecutive years, with a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- In prior years, Mattel's Depreciation and Depletion was $136.65 million in FY2024 (-2.0%), $139.45 million in FY2023 (-3.5%), $144.58 million in FY2022 (-1.2%) and $146.27 million in FY2021 (-5.3%).
- Quarterly Depreciation and Depletion has run from a low of $33.04 million in Q3 2024 to a high of $37.43 million in Q4 2021 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last three quarters, with an average decline of 1.7% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2021, with growth of 8.6%; the weakest was Q3 2024, with a decline of 8.3%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $33.69 million (Q1 2026), $34.08 million (Q4 2025) and $33.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.10 Bn | 11.15 Bn | 1.07 Bn | - |
| 2 | Hasbro | 12.69 Bn | 8.48 Bn | 867.20 Mn | 17.40 Mn |
| 3 | Acushnet Holdings | 4.87 Bn | 4.61 Bn | 445.83 Mn | - |
| 4 | Mattel | 4.30 Bn | 972.25 Mn | 542.12 Mn | 33.89 Mn |
| 5 | YETI Holdings | 3.02 Bn | 2.34 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 9.30 Mn |
| 7 | Peloton Interactive | 2.18 Bn | -2.44 Bn | 344.40 Mn | - |
| 8 | Unusual Machines | 1.09 Bn | 625.04 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 697.45 Mn | 301.45 Mn | 33.74 Mn | 6.17 Mn |
| 10 | Smith & Wesson Brands | 646.14 Mn | 558.40 Mn | 32.27 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.89 Mn |
| Mar 31, 2026 | 33.69 Mn |
| Dec 31, 2025 | 34.08 Mn |
| Sep 30, 2025 | 33.68 Mn |
| Jun 30, 2025 | 34.70 Mn |
| Mar 31, 2025 | 34.02 Mn |
| Dec 31, 2024 | 34.97 Mn |
| Sep 30, 2024 | 33.04 Mn |
| Jun 30, 2024 | 34.13 Mn |
| Mar 31, 2024 | 34.51 Mn |
| Dec 31, 2023 | 35.41 Mn |
| Sep 30, 2023 | 36.02 Mn |
| Jun 30, 2023 | 34.29 Mn |
| Mar 31, 2023 | 33.73 Mn |
| Dec 31, 2022 | 36.13 Mn |
| Sep 30, 2022 | 36.75 Mn |
| Jun 30, 2022 | 35.81 Mn |
| Mar 31, 2022 | 35.89 Mn |
| Dec 31, 2021 | 37.43 Mn |
| Sep 30, 2021 | 36.12 Mn |
Mattel Depreciation and Depletion 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=depreciation-and-depletion&ticker=MAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();