Alpha & Omega Semiconductor (AOSL) Other Accumulated Expenses (2015 - 2026)
Alpha & Omega Semiconductor (AOSL) recorded Other Accumulated Expenses of $6.17 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 918.6% from $606,000 a year earlier and up 1.3% from the prior quarter.
Alpha & Omega Semiconductor (AOSL) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Alpha & Omega Semiconductor reported Other Accumulated Expenses of $6.09 million, up 28.1% from FY2025.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -2.2% (FY2021 to FY2026).
- Across earlier fiscal years, Other Accumulated Expenses came in at $4.76 million in FY2025 (+24.4%), $3.82 million in FY2024 (-13.2%), $4.4 million in FY2023 (-14.7%) and $5.16 million in FY2022 (-24.1%).
- The fiscal Q1 2027 figure is the highest quarterly Other Accumulated Expenses since fiscal Q1 2022.
- On a year-over-year basis, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 141.8% over the last seven quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 918.6% in fiscal Q1 2027, against a decline of 24.1% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.09 million (Q4 2026), $4.99 million (Q3 2026) and $4.62 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Alpha & Omega Semiconductor | 824.30 Mn | 79.34 Mn | 43.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.17 Mn |
| Jun 30, 2026 | 6.09 Mn |
| Mar 31, 2026 | 4.99 Mn |
| Dec 31, 2025 | 4.62 Mn |
| Sep 30, 2025 | 606,000.00 |
| Jun 30, 2025 | 4.76 Mn |
| Mar 31, 2025 | 4.65 Mn |
| Dec 31, 2024 | 4.76 Mn |
| Jun 30, 2024 | 3.82 Mn |
| Mar 31, 2024 | 4.14 Mn |
| Dec 31, 2023 | 4.57 Mn |
| Jun 30, 2023 | 4.40 Mn |
| Mar 31, 2023 | 4.16 Mn |
| Dec 31, 2022 | 5.18 Mn |
| Jun 30, 2022 | 5.16 Mn |
| Sep 30, 2021 | 6.52 Mn |
| Jun 30, 2021 | 6.79 Mn |
| Mar 31, 2021 | 5.50 Mn |
| Dec 31, 2020 | 5.76 Mn |
| Sep 30, 2020 | 904,000.00 |
Alpha & Omega Semiconductor Other 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=other-accumulated-expenses&ticker=AOSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();