Alpha & Omega Semiconductor (AOSL) Change in Inventory (2010 - 2026)
Alpha & Omega Semiconductor (AOSL) recorded Change in Inventory of $2.34 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 50.5% from $1.55 million a year earlier.
Alpha & Omega Semiconductor (AOSL) Change in Inventory (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Alpha & Omega Semiconductor reported Change in Inventory of $11.71 million.
- Annual Change in Inventory has a five-year compound annual growth rate of -9.0% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Inventory came in at -$6.07 million in FY2025, $12.5 million in FY2024 (-50.4%), $25.21 million in FY2023 (-56.1%) and $57.42 million in FY2022 (+206.0%).
- Quarterly Change in Inventory has ranged from -$10.78 million in fiscal Q1 2025 to $19.32 million in fiscal Q2 2022 over the past five years.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 321.0% in fiscal Q1 2022, against a decline of 76.1% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$1.05 million (Q3 2026), $3.95 million (Q2 2026) and $6.48 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 5.78 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 | 195.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 300.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 423.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 66.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 208.00 Mn |
| 10 | Alpha & Omega Semiconductor | 914.85 Mn | 123.98 Mn | 39.35 Mn | 2.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.34 Mn |
| Mar 31, 2026 | -1.05 Mn |
| Dec 31, 2025 | 3.95 Mn |
| Sep 30, 2025 | 6.48 Mn |
| Jun 30, 2025 | 1.55 Mn |
| Mar 31, 2025 | 4.39 Mn |
| Dec 31, 2024 | -1.24 Mn |
| Sep 30, 2024 | -10.78 Mn |
| Jun 30, 2024 | -2.35 Mn |
| Mar 31, 2024 | 6.39 Mn |
| Dec 31, 2023 | 3.96 Mn |
| Sep 30, 2023 | 4.50 Mn |
| Jun 30, 2023 | 3.46 Mn |
| Mar 31, 2023 | 15.96 Mn |
| Dec 31, 2022 | -1.12 Mn |
| Sep 30, 2022 | 6.91 Mn |
| Jun 30, 2022 | 14.50 Mn |
| Mar 31, 2022 | 14.45 Mn |
| Dec 31, 2021 | 19.32 Mn |
| Sep 30, 2021 | 9.15 Mn |
Alpha & Omega Semiconductor Change in Inventory 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=change-in-inventory&ticker=AOSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();