Cirrus Logic (CRUS) Finished Goods (2011 - 2017)
Cirrus Logic (CRUS) reported Finished Goods of $84.56 million for fiscal Q4 2017 (quarter ended Mar 25, 2017), up 14.0% from $74.19 million a year earlier and up 137.4% from the prior quarter.
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Analysis
Cirrus Logic (CRUS) Finished Goods (2011 - 2017) Analysis & Trends
Dating back to fiscal Q4 2011, Cirrus Logic's Finished Goods record includes 25 quarters.
- Finished Goods has a five-year compound annual growth rate of 27.6% (FY2012 to FY2017).
- By fiscal year, Finished Goods came in at $74.19 million in FY2016 (+279.8%), $19.53 million in FY2015 (-38.5%), $31.78 million in FY2014 (-62.7%) and $85.13 million in FY2013 (+240.6%).
- The fiscal Q4 2017 figure ranks as the highest quarterly Finished Goods since fiscal Q4 2013.
- Year over year, Finished Goods gained in five of the last eight quarters, with growth averaging 58.2%.
- The high point for year-over-year Finished Goods in five years was fiscal Q4 2016 (growth of 279.8%); the low point was fiscal Q4 2014 (a decline of 62.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2017 came in at $35.62 million (Q3 2017), $38.43 million (Q2 2017) and $69.98 million (Q1 2017).
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 |
|---|---|
| Mar 25, 2017 | 84.56 Mn |
| Dec 24, 2016 | 35.62 Mn |
| Sep 24, 2016 | 38.43 Mn |
| Jun 25, 2016 | 69.98 Mn |
| Mar 26, 2016 | 74.19 Mn |
| Dec 26, 2015 | 60.35 Mn |
| Sep 26, 2015 | 49.19 Mn |
| Jun 27, 2015 | 42.67 Mn |
| Mar 28, 2015 | 19.53 Mn |
| Dec 27, 2014 | 22.18 Mn |
| Sep 27, 2014 | 56.65 Mn |
| Jun 28, 2014 | 38.15 Mn |
| Mar 29, 2014 | 31.78 Mn |
| Dec 28, 2013 | 29.04 Mn |
| Sep 28, 2013 | 41.84 Mn |
| Jun 29, 2013 | 58.23 Mn |
| Mar 30, 2013 | 85.13 Mn |
| Dec 29, 2012 | 64.68 Mn |
| Sep 29, 2012 | 73.45 Mn |
| Jun 30, 2012 | 35.68 Mn |
API Access
Cirrus Logic Finished Goods 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=finished-goods&ticker=CRUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=CRUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();