Alpha & Omega Semiconductor (AOSL) Finished Goods (2011 - 2026)
Alpha & Omega Semiconductor (AOSL) recorded Finished Goods of $30.09 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 79.7% from $16.75 million a year earlier and up 10.4% from the prior quarter.
Alpha & Omega Semiconductor (AOSL) Finished Goods (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Alpha & Omega Semiconductor's Finished Goods history includes 58 quarters.
- 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%).
- The fiscal Q4 2026 figure is the highest quarterly Finished Goods in data going back to fiscal Q4 2011.
- On a year-over-year basis, Finished Goods has increased for three consecutive quarters, with growth averaging 5.5% 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 $27.25 million (Q3 2026), $26.02 million (Q2 2026) and $19.26 million (Q1 2026).
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
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 18.59 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();