Astera Labs (ALAB) EPS (Basic) (2023 - 2026)
Astera Labs (ALAB) reported EPS (Basic) of $0.89 for Q2 2026, up 186.8% from $0.31 a year earlier and up 88.8% from the prior quarter.
Astera Labs (ALAB) EPS (Basic) (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Astera Labs' EPS (Basic) came in at $2.14, up 254.0% year-over-year; for FY2025, it was $1.32.
- By year, EPS (Basic) came in at -$0.64 in FY2024, -$0.71 in FY2023 and -$1.71 in FY2022.
- The Q2 2026 figure ranks as the highest quarterly EPS (Basic) in data going back to Q1 2023.
- Year over year, EPS (Basic) has now increased in each of the last three quarters, with growth averaging 80.1% over the last four quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $0.47 (Q1 2026), $0.27 (Q4 2025) and $0.54 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 2.47 |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | 4.31 |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 2.75 |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | 33.45 |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | 1.41 |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | 8.51 |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | -2.16 |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 3.20 |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | 2.20 |
| 10 | Astera Labs | 44.17 Bn | 39.41 Bn | 287.57 Mn | 0.89 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.89 |
| Mar 31, 2026 | 0.47 |
| Dec 31, 2025 | 0.27 |
| Sep 30, 2025 | 0.54 |
| Jun 30, 2025 | 0.31 |
| Mar 31, 2025 | 0.19 |
| Dec 31, 2024 | 0.19 |
| Sep 30, 2024 | -0.05 |
| Jun 30, 2024 | -0.05 |
| Mar 31, 2024 | -1.77 |
| Dec 31, 2023 | 0.39 |
| Sep 30, 2023 | -0.08 |
| Jun 30, 2023 | -0.55 |
| Mar 31, 2023 | -0.49 |
Astera Labs 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=ALAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "ALAB", "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=ALAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();