Maxlinear (MXL) Depreciation and Depletion (2016 - 2026)
Maxlinear (MXL) posted Depreciation and Depletion of $5.4 million for Q3 2026, down 5.3% from $5.7 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Maxlinear (MXL) Depreciation and Depletion (2016 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Depreciation and Depletion at Maxlinear was $22.6 million, down 3.4% year-over-year; for FY2025, it was $23.2 million, up 0.9% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- In prior years, Maxlinear's Depreciation and Depletion was $23 million in FY2024 (-3.4%), $23.8 million in FY2023 (+17.2%), $20.3 million in FY2022 (+14.7%) and $17.7 million in FY2021 (+56.6%).
- The Q3 2026 figure stands as the lowest quarterly Depreciation and Depletion since Q4 2023.
- On a year-over-year basis, Depreciation and Depletion increased in three of the last eight quarters, with growth averaging 0.8%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2023, with growth of 35.4%; the weakest was Q1 2024, with a decline of 14.1%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $5.6 million (Q2 2026), $5.8 million (Q1 2026) and $5.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 6.81 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 171.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | - |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | - |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 3.04 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 5.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.40 Mn |
| Jun 30, 2026 | 5.60 Mn |
| Mar 31, 2026 | 5.80 Mn |
| Dec 31, 2025 | 5.80 Mn |
| Sep 30, 2025 | 5.70 Mn |
| Jun 30, 2025 | 5.90 Mn |
| Mar 31, 2025 | 5.80 Mn |
| Dec 31, 2024 | 6.00 Mn |
| Sep 30, 2024 | 5.80 Mn |
| Jun 30, 2024 | 5.70 Mn |
| Mar 31, 2024 | 5.50 Mn |
| Dec 31, 2023 | 5.30 Mn |
| Sep 30, 2023 | 5.60 Mn |
| Jun 30, 2023 | 6.50 Mn |
| Mar 31, 2023 | 6.40 Mn |
| Dec 31, 2022 | 5.60 Mn |
| Sep 30, 2022 | 5.10 Mn |
| Jun 30, 2022 | 4.80 Mn |
| Mar 31, 2022 | 4.80 Mn |
| Dec 31, 2021 | 5.70 Mn |
API Access
Maxlinear 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=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "MXL", "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=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();