Maxlinear (MXL) EPS (Basic) (2009 - 2026)
Maxlinear's EPS (Basic) was $0.32 in Q3 2026, compared with -$0.52 a year earlier.
Analysis
Maxlinear (MXL) EPS (Basic) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Maxlinear's EPS (Basic) was -$0.32 through Sep 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 Q3 2026 figure marks the highest quarterly EPS (Basic) since Q4 2022.
- Per Business Quant data, MXL's EPS (Basic) in the three quarters before Q3 2026 was $0.02 (Q2 2026), -$0.52 (Q1 2026) and -$0.17 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 0.33 |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 0.92 |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 2.47 |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 2.75 |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 33.45 |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 1.48 |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 8.51 |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 0.63 |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 3.42 |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 0.32 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.32 |
| 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 |
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_KEY
import 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();