Maxlinear (MXL) EPS (Basic) (2010 - 2026)
Maxlinear's EPS (Basic) was $0.02 in Q2 2026, compared with -$0.31 a year earlier.
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Analysis
Maxlinear (MXL) EPS (Basic) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Maxlinear's EPS (Basic) was -$1.15 through Jun 30, 2026; for FY2025, it was -$1.58.
- In earlier years, EPS (Basic) was -$2.93 in FY2024, -$0.91 in FY2023, $1.60 in FY2022 (+190.3%) and $0.55 in FY2021.
- The Q2 2026 figure marks the highest quarterly EPS (Basic) since Q1 2023.
- Per Business Quant data, MXL's EPS (Basic) in the three quarters before Q2 2026 was -$0.52 (Q1 2026), -$0.17 (Q4 2025) and -$0.52 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.47 |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 4.42 |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 2.75 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.04 |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.41 |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 8.51 |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -2.16 |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 1.81 |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.20 |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 0.02 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.02 |
| Mar 31, 2026 | -0.52 |
| Dec 31, 2025 | -0.17 |
| Sep 30, 2025 | -0.52 |
| Jun 30, 2025 | -0.31 |
| Mar 31, 2025 | -0.58 |
| Dec 31, 2024 | -0.69 |
| Sep 30, 2024 | -0.90 |
| Jun 30, 2024 | -0.47 |
| Mar 31, 2024 | -0.88 |
| Dec 31, 2023 | -0.48 |
| Sep 30, 2023 | -0.49 |
| Jun 30, 2023 | -0.05 |
| Mar 31, 2023 | 0.12 |
| Dec 31, 2022 | 0.40 |
| Sep 30, 2022 | 0.36 |
| Jun 30, 2022 | 0.41 |
| Mar 31, 2022 | 0.44 |
| Dec 31, 2021 | 0.37 |
| Sep 30, 2021 | 0.12 |
API Access
Maxlinear EPS (Basic) 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=eps-basic&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();