Oxbridge Re Holdings (OXBR) Operating Expenses (2014 - 2026)
Oxbridge Re Holdings' Operating Expenses was $647,000 in Q2 2026, down 82.1% from $3.61 million a year earlier but up 11.0% from the prior quarter.
Powered by 
Analysis
Oxbridge Re Holdings (OXBR) Operating Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Oxbridge Re Holdings' Operating Expenses was $3.09 million through Jun 30, 2026, down 40.4% year-over-year; for FY2025, it was $6.04 million, up 178.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 39.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.17 million in FY2024 (-6.6%), $2.32 million in FY2023 (-10.5%), $2.6 million in FY2022 (+65.5%) and $1.57 million in FY2021 (+39.3%).
- Quarterly Operating Expenses has moved between $361,000 (Q1 2022) and $3.61 million (Q2 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 67.2%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2025 (growth of 475.5%); the worst was Q2 2026 (a decline of 82.1%).
- Per Business Quant data, OXBR's Operating Expenses in the three quarters before Q2 2026 was $583,000 (Q1 2026), $1.04 million (Q4 2025) and $815,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | Oxbridge Re Holdings | 11.83 Mn | -16.51 Mn | - | 647,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 647,000.00 |
| Mar 31, 2026 | 583,000.00 |
| Dec 31, 2025 | 1.04 Mn |
| Sep 30, 2025 | 815,000.00 |
| Jun 30, 2025 | 3.61 Mn |
| Mar 31, 2025 | 570,000.00 |
| Dec 31, 2024 | 497,000.00 |
| Sep 30, 2024 | 498,000.00 |
| Jun 30, 2024 | 628,000.00 |
| Mar 31, 2024 | 548,000.00 |
| Dec 31, 2023 | 536,000.00 |
| Sep 30, 2023 | 688,000.00 |
| Jun 30, 2023 | 697,000.00 |
| Mar 31, 2023 | 404,000.00 |
| Dec 31, 2022 | 363,000.00 |
| Sep 30, 2022 | 1.46 Mn |
| Jun 30, 2022 | 410,000.00 |
| Mar 31, 2022 | 361,000.00 |
| Dec 31, 2021 | 483,000.00 |
| Sep 30, 2021 | 479,000.00 |
API Access
Oxbridge Re Holdings Operating 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=operating-expenses&ticker=OXBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OXBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();