Netsol Technologies (NTWK) Buildings (2011 - 2013)
Netsol Technologies' Buildings was $2.26 million in fiscal Q1 2014 (quarter ended Sep 30, 2013), up 7.2% from $2.11 million a year earlier but down 5.4% from the prior quarter.
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Analysis
Netsol Technologies (NTWK) Buildings (2011 - 2013) Analysis & Trends
At the end of FY2013 (ended Jun 30, 2013), Buildings at Netsol Technologies came in at $2.39 million, up 12.1% from FY2012.
- In earlier fiscal years, Buildings was $2.13 million in FY2012 (-8.8%) and $2.34 million in FY2011.
- Quarterly Buildings has moved between $2.02 million (fiscal Q3 2013) and $2.39 million (fiscal Q4 2013) over five years.
- Per Business Quant data, NTWK's Buildings in the three fiscal quarters before Q1 2014 was $2.39 million (Q4 2013), $2.02 million (Q3 2013) and $2.07 million (Q2 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - |
| 10 | Netsol Technologies | 77.74 Mn | -7.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 2.26 Mn |
| Jun 30, 2013 | 2.39 Mn |
| Mar 31, 2013 | 2.02 Mn |
| Dec 31, 2012 | 2.07 Mn |
| Sep 30, 2012 | 2.11 Mn |
| Jun 30, 2012 | 2.13 Mn |
| Jun 30, 2011 | 2.34 Mn |
API Access
Netsol Technologies 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=NTWK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "NTWK", "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=NTWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();