Cirrus Logic (CRUS) Restructuring Costs (2010 - 2023)
Cirrus Logic (CRUS) recorded Restructuring Costs of $1.96 million in FY2024 (year ended Mar 30, 2024), down 81.6% from $10.63 million in FY2023.
Powered by 
Analysis
Cirrus Logic (CRUS) Restructuring Costs (2010 - 2023) Analysis & Trends
Starting with FY2013, Cirrus Logic's Restructuring Costs history includes 7 fiscal years.
- Annual Restructuring Costs has a four-year compound annual growth rate of -45.3% (FY2020 to FY2024).
- The FY2024 figure is the lowest annual Restructuring Costs since FY2021.
- Per Business Quant data, CRUS's Restructuring Costs was $10.63 million in FY2023, $352,000 in FY2021 (-98.4%) and $21.93 million in FY2020.
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 |
|---|---|
| Dec 30, 2023 | -360,000.00 |
| Sep 23, 2023 | 2.30 Mn |
| Mar 25, 2023 | 10.63 Mn |
| Jun 27, 2020 | 352,000.00 |
| Mar 28, 2020 | 21.93 Mn |
| Dec 27, 2014 | 3.20 Mn |
| Sep 27, 2014 | 14.94 Mn |
| Mar 29, 2014 | -26,000.00 |
| Dec 28, 2013 | 12,000.00 |
| Sep 28, 2013 | -154,000.00 |
| Jun 29, 2013 | -430,000.00 |
| Dec 29, 2012 | 3.29 Mn |
| Dec 25, 2010 | -395,000.00 |
API Access
Cirrus Logic Restructuring Costs 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=restructuring-costs&ticker=CRUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=CRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();