Alpha & Omega Semiconductor (AOSL) EBITDA (2010 - 2026)
Alpha & Omega Semiconductor (AOSL) posted EBITDA of $3.5 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 8.6% from $3.83 million a year earlier.
Alpha & Omega Semiconductor (AOSL) EBITDA (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Alpha & Omega Semiconductor's EBITDA came in at $14.06 million, down 58.6% from FY2025.
- Annual EBITDA has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -34.5% (FY2021 to FY2026).
- In prior fiscal years, Alpha & Omega Semiconductor's EBITDA was $33.96 million in FY2025 (-32.1%), $50 million in FY2024 (-23.9%), $65.74 million in FY2023 (-54.6%) and $144.89 million in FY2022 (+24.1%).
- Quarterly EBITDA has run from a low of -$3.4 million in fiscal Q3 2023 to a high of $39.84 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last five quarters, with an average decline of 25.0% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2025, with growth of 169.4%; the weakest was fiscal Q3 2026, with a decline of 96.9%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $233,000 (Q3 2026), $566,000 (Q2 2026) and $9.76 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 64.86 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 | 18.17 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Alpha & Omega Semiconductor | 914.85 Mn | 123.98 Mn | 39.35 Mn | 3.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.50 Mn |
| Mar 31, 2026 | 233,000.00 |
| Dec 31, 2025 | 566,000.00 |
| Sep 30, 2025 | 9.76 Mn |
| Jun 30, 2025 | 3.83 Mn |
| Mar 31, 2025 | 7.60 Mn |
| Dec 31, 2024 | 8.22 Mn |
| Sep 30, 2024 | 14.31 Mn |
| Jun 30, 2024 | 12.41 Mn |
| Mar 31, 2024 | 2.82 Mn |
| Dec 31, 2023 | 12.44 Mn |
| Sep 30, 2023 | 22.33 Mn |
| Jun 30, 2023 | 14.66 Mn |
| Mar 31, 2023 | -3.40 Mn |
| Dec 31, 2022 | 19.59 Mn |
| Sep 30, 2022 | 34.89 Mn |
| Jun 30, 2022 | 26.73 Mn |
| Mar 31, 2022 | 39.84 Mn |
| Dec 31, 2021 | 39.66 Mn |
| Sep 30, 2021 | 38.67 Mn |
Alpha & Omega Semiconductor EBITDA 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=ebitda&ticker=AOSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();