Maxlinear (MXL) Retained Earnings (2009 - 2026)
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Analysis
Maxlinear (MXL) Retained Earnings (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 157.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 315.63 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 219.16 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 22.15 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 131.85 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 6.72 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 20.66 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 36.97 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | -514.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -514.88 Mn |
| Jun 30, 2026 | -543.78 Mn |
| Mar 31, 2026 | -545.54 Mn |
| Dec 31, 2025 | -500.41 Mn |
| Sep 30, 2025 | -485.51 Mn |
| Jun 30, 2025 | -440.02 Mn |
| Mar 31, 2025 | -413.44 Mn |
| Dec 31, 2024 | -363.73 Mn |
| Sep 30, 2024 | -305.89 Mn |
| Jun 30, 2024 | -230.10 Mn |
| Mar 31, 2024 | -190.84 Mn |
| Dec 31, 2023 | -118.53 Mn |
| Sep 30, 2023 | -80.03 Mn |
| Jun 30, 2023 | -40.20 Mn |
| Mar 31, 2023 | -35.85 Mn |
| Dec 31, 2022 | -45.38 Mn |
| Sep 30, 2022 | -76.46 Mn |
| Jun 30, 2022 | -104.87 Mn |
| Mar 31, 2022 | -136.83 Mn |
| Dec 31, 2021 | -170.42 Mn |
API Access
Maxlinear Retained Earnings 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=retained-earnings&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();