Cisco Systems (CSCO) Land & Improvements (2009 - 2019)
Cisco Systems (CSCO) reported Land & Improvements of $4.55 billion for fiscal Q4 2019 (quarter ended Jul 27, 2019), down 3.5% from $4.71 billion a year earlier and down 0.2% from the prior quarter.
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Analysis
Cisco Systems (CSCO) Land & Improvements (2009 - 2019) Analysis & Trends
Dating back to fiscal Q4 2009, Cisco Systems' Land & Improvements record includes 38 quarters.
- Land & Improvements has a five-year compound annual growth rate of 0.3% (FY2014 to FY2019).
- By fiscal year, Land & Improvements came in at $4.71 billion in FY2018 (-4.4%), $4.93 billion in FY2017 (+3.1%), $4.78 billion in FY2016 (+6.3%) and $4.5 billion in FY2015 (+0.6%).
- The fiscal Q4 2019 figure ranks as the lowest quarterly Land & Improvements since fiscal Q4 2015.
- Year over year, Land & Improvements has now declined in each of the last seven quarters, with an average decline of 2.2% over the last eight quarters.
- The high point for year-over-year Land & Improvements in five years was fiscal Q4 2016 (growth of 6.3%); the low point was fiscal Q3 2019 (a decline of 4.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2019 came in at $4.55 billion (Q3 2019), $4.73 billion (Q2 2019) and $4.71 billion (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,034.23 Bn | 4,781.72 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 424.39 Bn | 360.32 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 291.31 Bn | 247.06 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 223.20 Bn | 176.66 Bn | 1.91 Bn | - |
| 5 | Sandisk | 191.14 Bn | 179.66 Bn | 7.58 Bn | - |
| 6 | Sony | 148.92 Bn | 86.18 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 140.06 Bn | 135.06 Bn | 1.90 Bn | - |
| 8 | Western Digital | 114.98 Bn | 103.11 Bn | 2.03 Bn | - |
| 9 | Hewlett Packard Enterprise | 74.13 Bn | 52.01 Bn | 4.93 Bn | - |
| 10 | Lumentum Holdings | 61.48 Bn | 53.29 Bn | 477.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 27, 2019 | 4.55 Bn |
| Apr 27, 2019 | 4.55 Bn |
| Jan 26, 2019 | 4.73 Bn |
| Oct 27, 2018 | 4.71 Bn |
| Jul 28, 2018 | 4.71 Bn |
| Apr 28, 2018 | 4.77 Bn |
| Jan 27, 2018 | 4.79 Bn |
| Oct 28, 2017 | 4.85 Bn |
| Jul 29, 2017 | 4.93 Bn |
| Apr 29, 2017 | 4.85 Bn |
| Jan 28, 2017 | 4.80 Bn |
| Oct 29, 2016 | 4.82 Bn |
| Jul 30, 2016 | 4.78 Bn |
| Apr 30, 2016 | 4.71 Bn |
| Jan 23, 2016 | 4.57 Bn |
| Oct 24, 2015 | 4.56 Bn |
| Jul 25, 2015 | 4.50 Bn |
| Apr 25, 2015 | 4.47 Bn |
| Jan 24, 2015 | 4.46 Bn |
| Oct 25, 2014 | 4.47 Bn |
API Access
Cisco Systems 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=CSCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "CSCO", "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=CSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();