Cirrus Logic (CRUS) Other Operating Expenses (2010 - 2023)
Cirrus Logic (CRUS) recorded Other Operating Expenses of $19,000 in fiscal Q2 2024 (quarter ended Sep 23, 2023).
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Analysis
Cirrus Logic (CRUS) Other Operating Expenses (2010 - 2023) Analysis & Trends
For FY2023 (ended Mar 25, 2023), Cirrus Logic reported Other Operating Expenses of $85.76 million.
- Across earlier fiscal years, Other Operating Expenses came in at -$4.91 million in FY2019.
- The fiscal Q2 2024 figure is the lowest quarterly Other Operating Expenses since fiscal Q4 2019.
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 | Cirrus Logic | 6.07 Bn | 2.83 Bn | 241.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 23, 2023 | 19,000.00 |
| Mar 25, 2023 | 85.76 Mn |
| Mar 30, 2019 | -4.91 Mn |
| Mar 25, 2017 | 9.84 Mn |
| Dec 26, 2015 | 78,000.00 |
| Sep 26, 2015 | 752,000.00 |
| Jun 27, 2015 | -12.50 Mn |
| Sep 27, 2014 | 1.46 Mn |
| Jun 29, 2013 | 695,000.00 |
| Mar 26, 2011 | -611,000.00 |
| Dec 25, 2010 | 30,000.00 |
| Jun 26, 2010 | -135,000.00 |
API Access
Cirrus Logic 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=CRUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "CRUS", "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=CRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();