Astera Labs (ALAB) Retained Earnings (2023 - 2026)
Astera Labs' Retained Earnings was $243.74 million in Q2 2026, compared with -$125.76 million a year earlier and up 168.9% from the prior quarter.
Analysis
Astera Labs (ALAB) Retained Earnings (2023 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Astera Labs came in at $10.34 million.
- In earlier years, Retained Earnings was -$208.8 million in FY2024 and -$125.38 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2023.
- Per Business Quant data, ALAB's Retained Earnings in the three quarters before Q2 2026 was $90.65 million (Q1 2026), $10.34 million (Q4 2025) and -$34.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 296.63 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 94.68 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 20.47 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 34.95 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 61.39 Bn |
| 10 | Astera Labs | 60.78 Bn | 56.02 Bn | 287.57 Mn | 243.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 243.74 Mn |
| Mar 31, 2026 | 90.65 Mn |
| Dec 31, 2025 | 10.34 Mn |
| Sep 30, 2025 | -34.64 Mn |
| Jun 30, 2025 | -125.76 Mn |
| Mar 31, 2025 | -176.98 Mn |
| Dec 31, 2024 | -208.80 Mn |
| Sep 30, 2024 | -233.51 Mn |
| Jun 30, 2024 | -225.92 Mn |
| Mar 31, 2024 | -218.37 Mn |
| Dec 31, 2023 | -125.38 Mn |
API Access
Astera Labs 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=ALAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=ALAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();