Alpha & Omega Semiconductor (AOSL) Finished Goods (2011 - 2026)
Alpha & Omega Semiconductor (AOSL) recorded Finished Goods of $23.93 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 24.3% from $19.26 million a year earlier but down 20.5% from the prior quarter.
Alpha & Omega Semiconductor (AOSL) Finished Goods (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Alpha & Omega Semiconductor reported Finished Goods of $30.09 million, up 79.7% from FY2025.
- Annual Finished Goods has a five-year compound annual growth rate of 12.7% (FY2021 to FY2026).
- Across earlier fiscal years, Finished Goods came in at $16.75 million in FY2025 (-43.8%), $29.79 million in FY2024 (+9.5%), $27.2 million in FY2023 (+190.6%) and $9.36 million in FY2022 (-43.5%).
- Quarterly Finished Goods has ranged from $9.36 million in fiscal Q4 2022 to $30.09 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Finished Goods has increased for four consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Peak year-over-year performance for Finished Goods in the last five years was growth of 190.6% in fiscal Q4 2023, against a decline of 43.8% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $30.09 million (Q4 2026), $27.25 million (Q3 2026) and $26.02 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 | 23.93 Mn |
| Jun 30, 2026 | 30.09 Mn |
| Mar 31, 2026 | 27.25 Mn |
| Dec 31, 2025 | 26.02 Mn |
| Sep 30, 2025 | 19.26 Mn |
| Jun 30, 2025 | 16.75 Mn |
| Mar 31, 2025 | 17.16 Mn |
| Dec 31, 2024 | 20.30 Mn |
| Sep 30, 2024 | 23.06 Mn |
| Jun 30, 2024 | 29.79 Mn |
| Mar 31, 2024 | 25.76 Mn |
| Dec 31, 2023 | 25.42 Mn |
| Sep 30, 2023 | 25.28 Mn |
| Jun 30, 2023 | 27.20 Mn |
| Mar 31, 2023 | 23.39 Mn |
| Dec 31, 2022 | 15.35 Mn |
| Sep 30, 2022 | 13.25 Mn |
| Jun 30, 2022 | 9.36 Mn |
| Mar 31, 2022 | 21.97 Mn |
| Dec 31, 2021 | 19.68 Mn |
Alpha & Omega Semiconductor Finished Goods 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=finished-goods&ticker=AOSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();