Oxbridge Re Holdings (OXBR) EPS (Diluted) (2014 - 2026)
Oxbridge Re Holdings' EPS (Diluted) came in at $0.02 for Q2 2026, compared with -$0.25 a year earlier and up 670.2% from the prior quarter.
Analysis
Oxbridge Re Holdings (OXBR) EPS (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, Oxbridge Re Holdings' EPS (Diluted) was -$0.28.
- Going back by year, EPS (Diluted) was -$0.45 in FY2024, -$1.69 in FY2023, -$0.31 in FY2022 and $1.49 in FY2021.
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) since Q1 2023.
- Business Quant data shows OXBR's EPS (Diluted) at $0.00 (Q1 2026), $0.02 (Q4 2025) and -$0.02 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 7.29 |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 5.67 |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 2.63 |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 10.34 |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 0.89 |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 1.09 |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 1.25 |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 12.51 |
| 10 | Oxbridge Re Holdings | 11.83 Mn | -16.51 Mn | - | 0.02 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.02 |
| Mar 31, 2026 | 0.00 |
| Dec 31, 2025 | 0.02 |
| Sep 30, 2025 | -0.02 |
| Jun 30, 2025 | -0.25 |
| Mar 31, 2025 | -0.02 |
| Dec 31, 2024 | -0.08 |
| Sep 30, 2024 | -0.09 |
| Jun 30, 2024 | -0.14 |
| Mar 31, 2024 | -0.15 |
| Dec 31, 2023 | -0.46 |
| Sep 30, 2023 | -1.24 |
| Jun 30, 2023 | -0.01 |
| Mar 31, 2023 | 0.02 |
| Dec 31, 2022 | 0.12 |
| Sep 30, 2022 | -0.37 |
| Jun 30, 2022 | 0.01 |
| Mar 31, 2022 | -0.07 |
| Dec 31, 2021 | 0.27 |
| Sep 30, 2021 | 1.14 |
API Access
Oxbridge Re Holdings 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=OXBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "OXBR", "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=OXBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();