Astera Labs (ALAB) Operating Expenses (2023 - 2026)
Astera Labs (ALAB) posted Operating Expenses of $198.32 million for Q2 2026, up 87.5% from $105.79 million a year earlier and up 14.4% from the prior quarter.
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Analysis
Astera Labs (ALAB) Operating Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Astera Labs was $629.55 million, up 51.7% year-over-year; for FY2025, it came in at $471.84 million, up 12.7% from FY2024.
- Annual Operating Expenses shows a three-year compound annual growth rate of 58.3% (FY2022 to FY2025).
- In prior years, Astera Labs' Operating Expenses was $418.77 million in FY2024 (+283.0%), $109.32 million in FY2023 (-8.0%) and $118.88 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2023.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 85.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2024, with growth of 475.7%; the weakest was Q1 2025, with a decline of 19.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $173.31 million (Q1 2026), $137.52 million (Q4 2025) and $120.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Astera Labs | 60.78 Bn | 56.02 Bn | 287.57 Mn | 198.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 198.32 Mn |
| Mar 31, 2026 | 173.31 Mn |
| Dec 31, 2025 | 137.52 Mn |
| Sep 30, 2025 | 120.41 Mn |
| Jun 30, 2025 | 105.79 Mn |
| Mar 31, 2025 | 108.13 Mn |
| Dec 31, 2024 | 104.30 Mn |
| Sep 30, 2024 | 96.77 Mn |
| Jun 30, 2024 | 84.20 Mn |
| Mar 31, 2024 | 133.49 Mn |
| Dec 31, 2023 | 30.01 Mn |
| Sep 30, 2023 | 30.08 Mn |
| Jun 30, 2023 | 26.05 Mn |
| Mar 31, 2023 | 23.19 Mn |
API Access
Astera Labs Operating Expenses 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=operating-expenses&ticker=ALAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ALAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();