Astera Labs (ALAB) Selling, General & Administrative (2023 - 2026)
Astera Labs' Selling, General & Administrative came in at $36.05 million for Q2 2026, up 76.2% from $20.46 million a year earlier and up 39.9% from the prior quarter.
Astera Labs (ALAB) Selling, General & Administrative (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Astera Labs reported Selling, General & Administrative of $107.56 million, up 19.3% year-over-year; for FY2025, it was $88.07 million, down 6.6% from FY2024.
- Selling, General & Administrative carries a three-year compound annual growth rate of 61.9% (FY2022 to FY2025).
- Going back by year, Selling, General & Administrative was $94.28 million in FY2024 (+492.0%), $15.93 million in FY2023 (-23.3%) and $20.76 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q1 2023.
- Year-over-year, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 114.1%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2024 (growth of 612.0%), and the weakest in Q1 2025 (a decline of 10.4%).
- Business Quant data shows ALAB's Selling, General & Administrative at $25.78 million (Q1 2026), $23.62 million (Q4 2025) and $22.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 407.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.40 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 1.18 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 322.33 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 162.00 Mn |
| 10 | Astera Labs | 60.78 Bn | 56.02 Bn | 287.57 Mn | 36.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.05 Mn |
| Mar 31, 2026 | 25.78 Mn |
| Dec 31, 2025 | 23.62 Mn |
| Sep 30, 2025 | 22.12 Mn |
| Jun 30, 2025 | 20.46 Mn |
| Mar 31, 2025 | 21.87 Mn |
| Dec 31, 2024 | 24.96 Mn |
| Sep 30, 2024 | 22.87 Mn |
| Jun 30, 2024 | 22.04 Mn |
| Mar 31, 2024 | 24.42 Mn |
| Dec 31, 2023 | 5.36 Mn |
| Sep 30, 2023 | 3.95 Mn |
| Jun 30, 2023 | 3.10 Mn |
| Mar 31, 2023 | 3.53 Mn |
Astera Labs Selling, General & Administrative 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=selling-general-and-administrative&ticker=ALAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ALAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();