Alpha & Omega Semiconductor (AOSL) Other Operating Expenses (2013 - 2022)
Alpha & Omega Semiconductor's Other Operating Expenses came in at $263,000 for fiscal Q3 2022 (quarter ended Mar 31, 2022), compared with -$253,000 a year earlier.
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Analysis
Alpha & Omega Semiconductor (AOSL) Other Operating Expenses (2013 - 2022) Analysis & Trends
For FY2020 (ended Jun 30, 2020), Alpha & Omega Semiconductor's Other Operating Expenses was $600,000.
- Other Operating Expenses carries a four-year compound annual growth rate of 8.6% (FY2016 to FY2020).
- Going back by fiscal year, Other Operating Expenses was $432,000 in FY2016.
- The fiscal Q3 2022 figure represents the highest quarterly Other Operating Expenses since fiscal Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 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 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Alpha & Omega Semiconductor | 914.85 Mn | 123.98 Mn | 39.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 263,000.00 |
| Mar 31, 2021 | -253,000.00 |
| Mar 31, 2020 | 600,000.00 |
| Dec 31, 2015 | 432,000.00 |
| Mar 31, 2013 | 2.56 Mn |
API Access
Alpha & Omega Semiconductor Other Operating Expenses 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=other-operating-expenses&ticker=AOSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=AOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();