Cohu (COHU) Land & Improvements (2011 - 2017)
Cohu's Land & Improvements was $7.92 million in Q3 2017, up 83.4% from $4.32 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Cohu (COHU) Land & Improvements (2011 - 2017) Analysis & Trends
At the end of FY2016, Land & Improvements at Cohu came in at $4.08 million, down 11.5% from FY2015.
- Land & Improvements has now declined for three consecutive years, with a five-year compound annual growth rate of -19.4% (FY2011 to FY2016).
- In earlier years, Land & Improvements was $4.61 million in FY2015 (-60.8%), $11.76 million in FY2014 (-4.3%), $12.29 million in FY2013 (+1.5%) and $12.11 million in FY2012 (+0.9%).
- The Q3 2017 figure marks the highest quarterly Land & Improvements since Q3 2015.
- Compared with a year earlier, Land & Improvements has increased for three straight quarters, with an average decline of 2.0% over the last eight quarters.
- The best year-over-year quarter for Land & Improvements over five years was Q3 2017 (growth of 83.4%); the worst was Q2 2016 (a decline of 62.6%).
- Per Business Quant data, COHU's Land & Improvements in the three quarters before Q3 2017 was $7.78 million (Q2 2017), $7.66 million (Q1 2017) and $4.08 million (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 7.92 Mn |
| Jun 24, 2017 | 7.78 Mn |
| Mar 25, 2017 | 7.66 Mn |
| Dec 31, 2016 | 4.08 Mn |
| Sep 24, 2016 | 4.32 Mn |
| Jun 25, 2016 | 4.28 Mn |
| Mar 26, 2016 | 4.30 Mn |
| Dec 26, 2015 | 4.61 Mn |
| Sep 26, 2015 | 11.44 Mn |
| Jun 27, 2015 | 11.43 Mn |
| Mar 28, 2015 | 11.34 Mn |
| Dec 27, 2014 | 11.76 Mn |
| Sep 27, 2014 | 11.93 Mn |
| Jun 28, 2014 | 12.25 Mn |
| Mar 29, 2014 | 12.29 Mn |
| Dec 28, 2013 | 12.29 Mn |
| Sep 28, 2013 | 12.21 Mn |
| Jun 29, 2013 | 12.04 Mn |
| Mar 30, 2013 | 11.97 Mn |
| Dec 29, 2012 | 12.11 Mn |
API Access
Cohu Land & Improvements 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=land-and-improvements&ticker=COHU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=COHU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();