Alpha & Omega Semiconductor (AOSL) Change in Inventory (2009 - 2026)
Alpha & Omega Semiconductor (AOSL) recorded Change in Inventory of -$5.12 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), compared with $6.48 million a year earlier.
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Analysis
Alpha & Omega Semiconductor (AOSL) Change in Inventory (2009 - 2026) Analysis & Trends
On a TTM basis, Alpha & Omega Semiconductor's Change in Inventory came in at $108,000 as of Sep 30, 2026, down 99.0% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $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%).
- The fiscal Q1 2027 figure is the lowest quarterly Change in Inventory since fiscal Q1 2025.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 192.3% in fiscal Q2 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 $2.34 million (Q4 2026), -$1.05 million (Q3 2026) and $3.95 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | -1.32 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 5.78 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -2.25 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.81 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 3.00 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 576.00 Mn |
| 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 | -5.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -5.12 Mn |
| 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 |
API Access
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_KEYimport 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();