Astera Labs (ALAB) EBIT (2023 - 2026)
Astera Labs' EBIT was $89.25 million in Q2 2026, up 124.4% from $39.77 million a year earlier and up 44.3% from the prior quarter.
Astera Labs (ALAB) EBIT (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Astera Labs' EBIT was $273.45 million through Jun 30, 2026, up 546.3% year-over-year; for FY2025, it was $173.42 million.
- In earlier years, EBIT was -$116.07 million in FY2024, -$29.5 million in FY2023 and -$60.19 million in FY2022.
- The Q2 2026 figure marks the highest quarterly EBIT in data going back to Q1 2023.
- Per Business Quant data, ALAB's EBIT in the three quarters before Q2 2026 was $61.83 million (Q1 2026), $66.96 million (Q4 2025) and $55.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 63.73 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 24.25 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 15.96 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.32 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.99 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 1.80 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.51 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.08 Bn |
| 10 | Astera Labs | 60.78 Bn | 56.02 Bn | 287.57 Mn | 89.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.25 Mn |
| Mar 31, 2026 | 61.83 Mn |
| Dec 31, 2025 | 66.96 Mn |
| Sep 30, 2025 | 55.41 Mn |
| Jun 30, 2025 | 39.77 Mn |
| Mar 31, 2025 | 11.29 Mn |
| Dec 31, 2024 | 144,000.00 |
| Sep 30, 2024 | -8.90 Mn |
| Jun 30, 2024 | -24.35 Mn |
| Mar 31, 2024 | -82.97 Mn |
| Dec 31, 2023 | 9.02 Mn |
| Sep 30, 2023 | -1.98 Mn |
| Jun 30, 2023 | -17.61 Mn |
| Mar 31, 2023 | -18.93 Mn |
Astera Labs EBIT 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=ebit&ticker=ALAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ALAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();