Coherent (COHR) Land & Improvements (2010 - 2016)
Coherent's Land & Improvements came in at $4.99 million for fiscal Q4 2016 (quarter ended Jun 30, 2016), up 9.3% from $4.57 million a year earlier but down 1.0% from the prior quarter.
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Analysis
Coherent (COHR) Land & Improvements (2010 - 2016) Analysis & Trends
Going back to fiscal Q4 2010, Coherent's Land & Improvements data covers 22 quarters.
- Land & Improvements has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 19.6% (FY2011 to FY2016).
- Going back by fiscal year, Land & Improvements was $4.57 million in FY2015 (+91.8%), $2.38 million in FY2014 (+6.5%), $2.24 million in FY2013 (unchanged) and $2.24 million in FY2012 (+9.4%).
- The five-year range for quarterly Land & Improvements is $2.04 million (fiscal Q1 2012) to $5.04 million (fiscal Q3 2016).
- Year-over-year, Land & Improvements has increased for 12 consecutive quarters, with growth averaging 48.6% over the last eight quarters.
- The year-over-year growth in Land & Improvements has ranged between 0.0% (fiscal Q3 2013) and 109.3% (fiscal Q3 2016) over the last five years.
- Business Quant data shows COHR's Land & Improvements at $5.04 million (Q3 2016), $4.62 million (Q2 2016) and $4.57 million (Q1 2016) in the three fiscal quarters before Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,087.13 Bn | 4,834.62 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 413.90 Bn | 349.82 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 289.90 Bn | 245.66 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 215.69 Bn | 169.14 Bn | 1.91 Bn | - |
| 5 | Sandisk | 184.10 Bn | 172.62 Bn | 7.58 Bn | - |
| 6 | Sony | 161.13 Bn | 100.89 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 145.63 Bn | 140.62 Bn | 1.90 Bn | - |
| 8 | Western Digital | 127.86 Bn | 115.99 Bn | 2.03 Bn | - |
| 9 | Hewlett Packard Enterprise | 73.67 Bn | 51.55 Bn | 4.93 Bn | - |
| 10 | Coherent | 40.70 Bn | 34.91 Bn | 787.08 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 4.99 Mn |
| Mar 31, 2016 | 5.04 Mn |
| Dec 31, 2015 | 4.62 Mn |
| Sep 30, 2015 | 4.57 Mn |
| Jun 30, 2015 | 4.57 Mn |
| Mar 31, 2015 | 2.41 Mn |
| Dec 31, 2014 | 2.59 Mn |
| Sep 30, 2014 | 2.42 Mn |
| Jun 30, 2014 | 2.38 Mn |
| Mar 31, 2014 | 2.38 Mn |
| Dec 31, 2013 | 2.38 Mn |
| Sep 30, 2013 | 2.38 Mn |
| Jun 30, 2013 | 2.24 Mn |
| Mar 31, 2013 | 2.24 Mn |
| Dec 31, 2012 | 2.24 Mn |
| Sep 30, 2012 | 2.24 Mn |
| Jun 30, 2012 | 2.24 Mn |
| Mar 31, 2012 | 2.24 Mn |
| Dec 31, 2011 | 2.15 Mn |
| Sep 30, 2011 | 2.04 Mn |
API Access
Coherent 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=COHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "COHR", "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=COHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();