Alpha & Omega Semiconductor (AOSL) Accumulated Expenses (2011 - 2026)
Alpha & Omega Semiconductor (AOSL) reported Accumulated Expenses of $57.68 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.3% from $59.03 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Alpha & Omega Semiconductor (AOSL) Accumulated Expenses (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Alpha & Omega Semiconductor's Accumulated Expenses record includes 61 quarters.
- Accumulated Expenses has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -3.7% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $59.03 million in FY2025 (-18.4%), $72.37 million in FY2024 (-9.0%), $79.53 million in FY2023 (-32.0%) and $116.89 million in FY2022 (+68.2%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Accumulated Expenses since fiscal Q1 2021.
- Year over year, Accumulated Expenses has now declined in each of the last 14 quarters, with an average decline of 11.0% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q4 2022 (growth of 68.2%); the low point was fiscal Q4 2023 (a decline of 32.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $59.01 million (Q3 2026), $57.83 million (Q2 2026) and $68.18 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Alpha & Omega Semiconductor | 914.85 Mn | 123.98 Mn | 39.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.68 Mn |
| Mar 31, 2026 | 59.01 Mn |
| Dec 31, 2025 | 57.83 Mn |
| Sep 30, 2025 | 68.18 Mn |
| Jun 30, 2025 | 59.03 Mn |
| Mar 31, 2025 | 64.39 Mn |
| Dec 31, 2024 | 71.39 Mn |
| Sep 30, 2024 | 71.44 Mn |
| Jun 30, 2024 | 72.37 Mn |
| Mar 31, 2024 | 73.59 Mn |
| Dec 31, 2023 | 77.68 Mn |
| Sep 30, 2023 | 83.95 Mn |
| Jun 30, 2023 | 79.53 Mn |
| Mar 31, 2023 | 90.03 Mn |
| Dec 31, 2022 | 98.11 Mn |
| Sep 30, 2022 | 108.35 Mn |
| Jun 30, 2022 | 116.89 Mn |
| Mar 31, 2022 | 91.33 Mn |
| Dec 31, 2021 | 95.21 Mn |
| Sep 30, 2021 | 92.21 Mn |
API Access
Alpha & Omega Semiconductor Accumulated 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=accumulated-expenses&ticker=AOSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();