Cboe Global Markets (CBOE) Buildings (2010 - 2016)
Cboe Global Markets' Buildings came in at $77.03 million for Q4 2016, up 9.2% from $70.53 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Buildings (2010 - 2016) Analysis & Trends
Going back to Q4 2010, Cboe Global Markets' Buildings data covers 24 quarters.
- Buildings has increased in each of the last five years, with a five-year compound annual growth rate of 4.8% (FY2011 to FY2016).
- Going back by year, Buildings was $70.53 million in FY2015 (+3.7%), $68.02 million in FY2014 (+3.9%), $65.45 million in FY2013 (+4.8%) and $62.44 million in FY2012 (+2.5%).
- The Q4 2016 figure represents the highest quarterly Buildings in data going back to Q4 2010.
- Year-over-year, Buildings has increased for 18 consecutive quarters, with growth averaging 4.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Buildings ranged from 0.0% (Q2 2012) to 11.2% (Q3 2016).
- Business Quant data shows CBOE's Buildings at $76.3 million (Q3 2016), $71.16 million (Q2 2016) and $70.55 million (Q1 2016) in the three quarters before Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 77.03 Mn |
| Sep 30, 2016 | 76.30 Mn |
| Jun 30, 2016 | 71.16 Mn |
| Mar 31, 2016 | 70.55 Mn |
| Dec 31, 2015 | 70.53 Mn |
| Sep 30, 2015 | 68.62 Mn |
| Jun 30, 2015 | 68.34 Mn |
| Mar 31, 2015 | 68.12 Mn |
| Dec 31, 2014 | 68.02 Mn |
| Sep 30, 2014 | 68.01 Mn |
| Jun 30, 2014 | 67.90 Mn |
| Mar 31, 2014 | 65.49 Mn |
| Dec 31, 2013 | 65.45 Mn |
| Sep 30, 2013 | 63.53 Mn |
| Jun 30, 2013 | 62.44 Mn |
| Mar 31, 2013 | 62.60 Mn |
| Dec 31, 2012 | 62.44 Mn |
| Sep 30, 2012 | 62.15 Mn |
| Jun 30, 2012 | 60.92 Mn |
| Mar 31, 2012 | 60.92 Mn |
API Access
Cboe Global Markets 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=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "CBOE", "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=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();