Boston Omaha (BOC) Buildings (2011 - 2015)
Boston Omaha's Buildings came in at $517,981 for Q3 2015, unchanged from $517,981 a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Boston Omaha (BOC) Buildings (2011 - 2015) Analysis & Trends
Going back to Q4 2011, Boston Omaha's Buildings data covers 14 quarters.
- Buildings carries a three-year compound annual growth rate of 0.0% (FY2011 to FY2014).
- Going back by year, Buildings was $517,981 in FY2013 (unchanged), $517,981 in FY2012 (unchanged) and $517,981 in FY2011.
- Business Quant data shows BOC's Buildings at $517,981 (Q2 2015), $517,981 (Q1 2015) and $517,981 (Q4 2014) in the three quarters before Q3 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | American Tower | 78.00 Bn | 77.74 Bn | 2.72 Bn |
| 2 | Digital Realty Trust | 65.33 Bn | 55.85 Bn | - |
| 3 | Crown Castle | 28.57 Bn | 27.31 Bn | 989.00 Mn |
| 4 | Sba Communications | 17.27 Bn | 17.36 Bn | 539.27 Mn |
| 5 | Lamar Advertising | 12.72 Bn | 12.54 Bn | 422.53 Mn |
| 6 | OUTFRONT Media | 4.93 Bn | 4.69 Bn | 276.40 Mn |
| 7 | Array Digital Infrastructure | 2.93 Bn | 1.83 Bn | 30.57 Mn |
| 8 | IHS Holding | 2.81 Bn | -54.39 Mn | 207.10 Mn |
| 9 | Fermi | 2.73 Bn | 1.87 Bn | - |
| 10 | Boston Omaha | 394.89 Mn | 203.83 Mn | 16.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | 517,981.00 |
| Jun 30, 2015 | 517,981.00 |
| Mar 31, 2015 | 517,981.00 |
| Dec 31, 2014 | 517,981.00 |
| Sep 30, 2014 | 517,981.00 |
| Jun 30, 2014 | 517,981.00 |
| Mar 31, 2014 | 517,981.00 |
| Dec 31, 2013 | 517,981.00 |
| Sep 30, 2013 | 517,981.00 |
| Jun 30, 2013 | 517,981.00 |
| Mar 31, 2013 | 517,981.00 |
| Dec 31, 2012 | 517,981.00 |
| Sep 30, 2012 | 517,981.00 |
| Dec 31, 2011 | 517,981.00 |
API Access
Boston Omaha 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=BOC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "BOC", "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=BOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();