Cohu (COHU) Buildings (2010 - 2017)
Cohu (COHU) posted Buildings of $13.61 million for Q3 2017, up 69.8% from $8.02 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Cohu (COHU) Buildings (2010 - 2017) Analysis & Trends
At the end of FY2016, Cohu's Buildings came in at $7.97 million, down 11.2% from FY2015.
- Annual Buildings has declined for three consecutive years, with a five-year compound annual growth rate of -23.9% (FY2011 to FY2016).
- In prior years, Cohu's Buildings was $8.97 million in FY2015 (-71.1%), $31.07 million in FY2014 (-2.1%), $31.73 million in FY2013 (+1.7%) and $31.21 million in FY2012 (+0.1%).
- Quarterly Buildings has run from a low of $7.97 million in Q4 2016 to a high of $32.44 million in Q1 2014 over five years.
- On a year-over-year basis, Buildings has increased in each of the last three quarters, with an average decline of 12.4% over the last eight quarters.
- The strongest year-over-year quarter for Buildings in the past five years was Q1 2017, with growth of 70.2%; the weakest was Q3 2016, with a decline of 74.3%.
- According to Business Quant data, Buildings for the three prior quarters was $13.38 million (Q2 2017), $13.69 million (Q1 2017) and $7.97 million (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,460.77 Bn | 5,234.93 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,294.55 Bn | 1,913.81 Bn | 27.22 Bn |
| 3 | Broadcom | 1,697.12 Bn | 1,623.17 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,068.24 Bn | 973.87 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 962.53 Bn | 919.27 Bn | 6.20 Bn |
| 6 | Asml Holding | 665.34 Bn | 621.03 Bn | 5.90 Bn |
| 7 | Intel | 513.90 Bn | 383.03 Bn | 6.51 Bn |
| 8 | Lam Research | 378.42 Bn | 355.22 Bn | 3.48 Bn |
| 9 | Applied Materials | 377.51 Bn | 342.95 Bn | 4.59 Bn |
| 10 | Cohu | 3.00 Bn | 1.33 Bn | 67.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 13.61 Mn |
| Jun 24, 2017 | 13.38 Mn |
| Mar 25, 2017 | 13.69 Mn |
| Dec 31, 2016 | 7.97 Mn |
| Sep 24, 2016 | 8.02 Mn |
| Jun 25, 2016 | 8.10 Mn |
| Mar 26, 2016 | 8.04 Mn |
| Dec 26, 2015 | 8.97 Mn |
| Sep 26, 2015 | 31.17 Mn |
| Jun 27, 2015 | 31.27 Mn |
| Mar 28, 2015 | 30.90 Mn |
| Dec 27, 2014 | 31.07 Mn |
| Sep 27, 2014 | 31.30 Mn |
| Jun 28, 2014 | 32.00 Mn |
| Mar 29, 2014 | 32.44 Mn |
| Dec 28, 2013 | 31.73 Mn |
| Sep 28, 2013 | 31.81 Mn |
| Jun 29, 2013 | 31.73 Mn |
| Mar 30, 2013 | 31.41 Mn |
| Dec 29, 2012 | 31.21 Mn |
API Access
Cohu Buildings 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=buildings&ticker=COHU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "COHU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=COHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();