Alpha & Omega Semiconductor (AOSL) Capital Expenditures (2010 - 2026)
Alpha & Omega Semiconductor (AOSL) recorded Capital Expenditures of $14.9 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.9% from $14.34 million a year earlier and up 22.9% from the prior quarter.
Alpha & Omega Semiconductor (AOSL) Capital Expenditures (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Alpha & Omega Semiconductor reported Capital Expenditures of $51.75 million, up 39.2% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of -6.6% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $37.18 million in FY2025 (+0.2%), $37.09 million in FY2024 (-66.4%), $110.43 million in FY2023 (-20.0%) and $138.01 million in FY2022 (+89.8%).
- Quarterly Capital Expenditures has ranged from $6.92 million in fiscal Q1 2025 to $43.43 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Capital Expenditures has increased for six consecutive quarters, with growth averaging 28.4% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 99.5% in fiscal Q2 2026, against a decline of 68.9% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12.12 million (Q3 2026), $14.96 million (Q2 2026) and $9.77 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.68 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 | 532.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Alpha & Omega Semiconductor | 914.85 Mn | 123.98 Mn | 39.35 Mn | 14.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.90 Mn |
| Mar 31, 2026 | 12.12 Mn |
| Dec 31, 2025 | 14.96 Mn |
| Sep 30, 2025 | 9.77 Mn |
| Jun 30, 2025 | 14.34 Mn |
| Mar 31, 2025 | 8.43 Mn |
| Dec 31, 2024 | 7.50 Mn |
| Sep 30, 2024 | 6.92 Mn |
| Jun 30, 2024 | 7.33 Mn |
| Mar 31, 2024 | 7.73 Mn |
| Dec 31, 2023 | 9.52 Mn |
| Sep 30, 2023 | 12.51 Mn |
| Jun 30, 2023 | 19.17 Mn |
| Mar 31, 2023 | 22.67 Mn |
| Dec 31, 2022 | 28.33 Mn |
| Sep 30, 2022 | 40.26 Mn |
| Jun 30, 2022 | 40.01 Mn |
| Mar 31, 2022 | 43.43 Mn |
| Dec 31, 2021 | 29.58 Mn |
| Sep 30, 2021 | 24.99 Mn |
Alpha & Omega Semiconductor Capital Expenditures 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=capital-expenditures&ticker=AOSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();