Alpha & Omega Semiconductor (AOSL) Operating Expenses (2010 - 2026)
Alpha & Omega Semiconductor (AOSL) reported Operating Expenses of $50.33 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.9% from $52.91 million a year earlier but up 3.6% from the prior quarter.
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Analysis
Alpha & Omega Semiconductor (AOSL) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Alpha & Omega Semiconductor posted Operating Expenses of $194.74 million, up 2.8% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $189.44 million in FY2025 (+7.8%), $175.67 million in FY2024 (-0.8%), $177.01 million in FY2023 (+6.3%) and $166.52 million in FY2022 (+18.5%).
- Five-year quarterly Operating Expenses spans a low of $39.62 million in fiscal Q1 2022 and a high of $52.91 million in fiscal Q4 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 5.6%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2025 (growth of 23.2%); the low point was fiscal Q1 2024 (a decline of 8.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $48.59 million (Q3 2026), $48.39 million (Q2 2026) and $47.43 million (Q1 2026).
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 | Alpha & Omega Semiconductor | 914.85 Mn | 123.98 Mn | 39.35 Mn | 50.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.33 Mn |
| Mar 31, 2026 | 48.59 Mn |
| Dec 31, 2025 | 48.39 Mn |
| Sep 30, 2025 | 47.43 Mn |
| Jun 30, 2025 | 52.91 Mn |
| Mar 31, 2025 | 45.84 Mn |
| Dec 31, 2024 | 45.92 Mn |
| Sep 30, 2024 | 44.78 Mn |
| Jun 30, 2024 | 42.94 Mn |
| Mar 31, 2024 | 46.06 Mn |
| Dec 31, 2023 | 45.14 Mn |
| Sep 30, 2023 | 41.54 Mn |
| Jun 30, 2023 | 41.97 Mn |
| Mar 31, 2023 | 45.19 Mn |
| Dec 31, 2022 | 44.26 Mn |
| Sep 30, 2022 | 45.59 Mn |
| Jun 30, 2022 | 45.08 Mn |
| Mar 31, 2022 | 41.17 Mn |
| Dec 31, 2021 | 40.65 Mn |
| Sep 30, 2021 | 39.62 Mn |
API Access
Alpha & Omega Semiconductor 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=AOSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AOSL", "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=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();