Boston Omaha (BOC) EPS (Diluted) (2020 - 2026)
Boston Omaha's EPS (Diluted) was -$0.05 in Q2 2026, compared with -$0.07 a year earlier.
Analysis
Boston Omaha (BOC) EPS (Diluted) (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Boston Omaha's EPS (Diluted) was -$0.44 through Jun 30, 2026; for FY2025, it came in at -$0.40.
- In earlier years, EPS (Diluted) was -$0.04 in FY2024, -$0.23 in FY2023, $0.34 in FY2022 (-81.1%) and $1.82 in FY2021.
- The Q2 2026 figure marks the highest quarterly EPS (Diluted) since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 78.00 Bn | 77.74 Bn | 2.72 Bn | 1.86 |
| 2 | Digital Realty Trust | 65.33 Bn | 55.85 Bn | - | 1.23 |
| 3 | Crown Castle | 28.57 Bn | 27.31 Bn | 989.00 Mn | 0.22 |
| 4 | Sba Communications | 17.27 Bn | 17.36 Bn | 539.27 Mn | 1.87 |
| 5 | Lamar Advertising | 12.72 Bn | 12.54 Bn | 422.53 Mn | 1.58 |
| 6 | OUTFRONT Media | 4.93 Bn | 4.69 Bn | 276.40 Mn | 0.44 |
| 7 | Array Digital Infrastructure | 2.93 Bn | 1.83 Bn | 30.57 Mn | 4.15 |
| 8 | IHS Holding | 2.81 Bn | -54.39 Mn | 207.10 Mn | -0.03 |
| 9 | Fermi | 2.73 Bn | 1.87 Bn | - | -0.04 |
| 10 | Boston Omaha | 394.89 Mn | 203.83 Mn | 16.00 Mn | -0.05 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.05 |
| Dec 31, 2025 | -0.22 |
| Sep 30, 2025 | -0.08 |
| Jun 30, 2025 | -0.07 |
| Mar 31, 2025 | -0.02 |
| Dec 31, 2024 | 0.17 |
| Sep 30, 2024 | -0.05 |
| Jun 30, 2024 | -0.07 |
| Mar 31, 2024 | -0.09 |
| Dec 31, 2023 | -0.12 |
| Sep 30, 2023 | -0.05 |
| Jun 30, 2023 | 0.05 |
| Mar 31, 2023 | -0.11 |
| Dec 31, 2022 | 0.23 |
| Sep 30, 2022 | -0.05 |
| Jun 30, 2022 | -0.39 |
| Mar 31, 2022 | 0.55 |
| Dec 31, 2021 | -0.48 |
| Sep 30, 2021 | -0.89 |
| Jun 30, 2021 | 0.29 |
API Access
Boston Omaha EPS (Diluted) 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=eps-diluted&ticker=BOC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=BOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();