Alpha & Omega Semiconductor (AOSL) Inventory (2009 - 2026)
Alpha & Omega Semiconductor (AOSL) reported Inventory of $196.27 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 0.1% from $196.16 million a year earlier but down 2.5% from the prior quarter.
Alpha & Omega Semiconductor (AOSL) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Alpha & Omega Semiconductor posted Inventory of $201.38 million, up 6.2% from FY2025.
- Inventory has a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $189.68 million in FY2025 (-3.1%), $195.75 million in FY2024 (+6.8%), $183.25 million in FY2023 (+15.9%) and $158.04 million in FY2022 (+2.4%).
- Five-year quarterly Inventory spans a low of $129.08 million in fiscal Q2 2022 and a high of $201.38 million in fiscal Q4 2026.
- Year over year, Inventory has now increased in each of the last five quarters, with growth averaging 1.8% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q2 2023 (growth of 26.9%); the low point was fiscal Q2 2022 (a decline of 10.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $201.38 million (Q4 2026), $199.05 million (Q3 2026) and $200.1 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 11.67 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 13.43 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 31.58 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.52 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 10.37 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 11.46 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 13.43 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 13.07 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 6.89 Bn |
| 10 | Alpha & Omega Semiconductor | 824.30 Mn | 79.34 Mn | 43.50 Mn | 196.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 196.27 Mn |
| Jun 30, 2026 | 201.38 Mn |
| Mar 31, 2026 | 199.05 Mn |
| Dec 31, 2025 | 200.10 Mn |
| Sep 30, 2025 | 196.16 Mn |
| Jun 30, 2025 | 189.68 Mn |
| Mar 31, 2025 | 188.13 Mn |
| Dec 31, 2024 | 183.73 Mn |
| Sep 30, 2024 | 184.97 Mn |
| Jun 30, 2024 | 195.75 Mn |
| Mar 31, 2024 | 198.10 Mn |
| Dec 31, 2023 | 191.71 Mn |
| Sep 30, 2023 | 187.75 Mn |
| Jun 30, 2023 | 183.25 Mn |
| Mar 31, 2023 | 179.78 Mn |
| Dec 31, 2022 | 163.82 Mn |
| Sep 30, 2022 | 164.95 Mn |
| Jun 30, 2022 | 158.04 Mn |
| Mar 31, 2022 | 143.54 Mn |
| Dec 31, 2021 | 129.08 Mn |
Alpha & Omega Semiconductor 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=inventory&ticker=AOSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();