Alpha & Omega Semiconductor (AOSL) Enterprise Value (2010 - 2026)
Alpha & Omega Semiconductor (AOSL) reported Enterprise Value of $657.6 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 6.6% from $616.77 million a year earlier but down 47.4% from the prior quarter.
Alpha & Omega Semiconductor (AOSL) Enterprise Value (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Alpha & Omega Semiconductor's Enterprise Value came in at $88.43 million, down 19.9% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $1.25 billion, up 102.9% from FY2025.
- Enterprise Value has a five-year compound annual growth rate of 11.0% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $616.42 million in FY2025 (-32.1%), $907.42 million in FY2024 (+27.5%), $711.86 million in FY2023 (+19.0%) and $598.2 million in FY2022 (-19.3%).
- Five-year quarterly Enterprise Value spans a low of $388.97 million in fiscal Q2 2026 and a high of $1.35 billion in fiscal Q2 2022.
- Year over year, Enterprise Value gained in four of the last eight quarters, with growth averaging 6.8%.
- The high point for year-over-year Enterprise Value in five years was fiscal Q2 2022 (growth of 136.1%); the low point was fiscal Q2 2023 (a decline of 62.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.25 billion (Q4 2026), $471.94 million (Q3 2026) and $388.97 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 | 657.60 Mn |
| Jun 30, 2026 | 1.25 Bn |
| Mar 31, 2026 | 471.94 Mn |
| Dec 31, 2025 | 388.97 Mn |
| Sep 30, 2025 | 616.77 Mn |
| Jun 30, 2025 | 616.42 Mn |
| Mar 31, 2025 | 569.72 Mn |
| Dec 31, 2024 | 899.61 Mn |
| Sep 30, 2024 | 901.36 Mn |
| Jun 30, 2024 | 907.42 Mn |
| Mar 31, 2024 | 458.09 Mn |
| Dec 31, 2023 | 568.74 Mn |
| Sep 30, 2023 | 634.36 Mn |
| Jun 30, 2023 | 711.86 Mn |
| Mar 31, 2023 | 484.83 Mn |
| Dec 31, 2022 | 499.73 Mn |
| Sep 30, 2022 | 526.74 Mn |
| Jun 30, 2022 | 598.20 Mn |
| Mar 31, 2022 | 1.16 Bn |
| Dec 31, 2021 | 1.35 Bn |
Alpha & Omega Semiconductor Enterprise Value 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=enterprise-value&ticker=AOSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();