Boston Omaha (BOC) Other Accumulated Expenses (2012 - 2023)
Boston Omaha's Other Accumulated Expenses came in at $81,727 for Q1 2023, down 75.2% from the prior quarter.
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Analysis
Boston Omaha (BOC) Other Accumulated Expenses (2012 - 2023) Analysis & Trends
At the end of FY2022, Boston Omaha's Other Accumulated Expenses was $330,000.
- The Q1 2023 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2015.
- Business Quant data shows BOC's Other Accumulated Expenses at $330,000 (Q4 2022), $2.88 million (Q3 2022) and $1.96 million (Q2 2022) in the three quarters before Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | American Tower | 75.57 Bn | 75.31 Bn | 2.72 Bn |
| 2 | Digital Realty Trust | 66.06 Bn | 56.59 Bn | - |
| 3 | Crown Castle | 28.31 Bn | 27.05 Bn | 989.00 Mn |
| 4 | Sba Communications | 16.81 Bn | 16.90 Bn | 539.27 Mn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn |
| 6 | OUTFRONT Media | 5.05 Bn | 4.82 Bn | 276.40 Mn |
| 7 | Array Digital Infrastructure | 2.97 Bn | 1.87 Bn | 30.57 Mn |
| 8 | IHS Holding | 2.79 Bn | -67.81 Mn | 207.10 Mn |
| 9 | Fermi | 2.57 Bn | 1.71 Bn | - |
| 10 | Boston Omaha | 400.97 Mn | 209.92 Mn | 16.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 81,727.00 |
| Dec 31, 2022 | 330,000.00 |
| Sep 30, 2022 | 2.88 Mn |
| Jun 30, 2022 | 1.96 Mn |
| Mar 31, 2020 | 398,750.00 |
| Dec 31, 2015 | 4,384.00 |
| Sep 30, 2015 | 3,123.00 |
| Jun 30, 2015 | 1,876.00 |
| Mar 31, 2015 | 2,510.00 |
| Dec 31, 2014 | 21,270.00 |
| Sep 30, 2014 | 16,071.00 |
| Jun 30, 2014 | 8,953.00 |
| Mar 31, 2014 | 1,886.00 |
| Dec 31, 2013 | 17,021.00 |
| Sep 30, 2013 | 11,877.00 |
| Jun 30, 2013 | 9,198.00 |
| Dec 31, 2012 | 9,720.00 |
API Access
Boston Omaha Other Accumulated Expenses 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=other-accumulated-expenses&ticker=BOC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=BOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();