Burke & Herbert Financial Services (BHRB) Bank-Owned Life Insurance (2022 - 2026)
Burke & Herbert Financial Services (BHRB) posted Bank-Owned Life Insurance of $269.05 million for Q2 2026, up 47.7% from $182.18 million a year earlier and up 25.4% from the prior quarter.
Burke & Herbert Financial Services (BHRB) Bank-Owned Life Insurance (2022 - 2026) Analysis & Trends
At the end of FY2025, Burke & Herbert Financial Services' Bank-Owned Life Insurance came in at $213.2 million, up 16.6% from FY2024.
- Annual Bank-Owned Life Insurance has increased for three consecutive years, with a three-year compound annual growth rate of 32.1% (FY2022 to FY2025).
- In prior years, Burke & Herbert Financial Services' Bank-Owned Life Insurance was $182.83 million in FY2024 (+94.2%), $94.16 million in FY2023 (+1.8%) and $92.49 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Bank-Owned Life Insurance in data going back to Q4 2022.
- On a year-over-year basis, Bank-Owned Life Insurance has increased in each of the last four quarters, with growth averaging 45.4% over the last eight quarters.
- The year-over-year growth in Bank-Owned Life Insurance has ranged between 0.0% (Q2 2025) and 94.5% (Q2 2024) over the last five years.
- According to Business Quant data, Bank-Owned Life Insurance for the three prior quarters was $214.61 million (Q1 2026), $213.2 million (Q4 2025) and $182.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | BOLI (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | - |
| 10 | Burke & Herbert Financial Services | 1.44 Bn | 769.34 Mn | - | 270.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 270.92 Mn |
| Jun 30, 2026 | 269.05 Mn |
| Mar 31, 2026 | 214.61 Mn |
| Dec 31, 2025 | 213.20 Mn |
| Sep 30, 2025 | 182.98 Mn |
| Jun 30, 2025 | 182.18 Mn |
| Mar 31, 2025 | 184.02 Mn |
| Dec 31, 2024 | 182.83 Mn |
| Sep 30, 2024 | 182.38 Mn |
| Jun 30, 2024 | 182.11 Mn |
| Mar 31, 2024 | 94.76 Mn |
| Dec 31, 2023 | 94.16 Mn |
| Sep 30, 2023 | 94.21 Mn |
| Jun 30, 2023 | 93.63 Mn |
| Mar 31, 2023 | 93.05 Mn |
| Dec 31, 2022 | 92.49 Mn |
Burke & Herbert Financial Services Bank-Owned Life Insurance 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=bank-owned-life-insurance&ticker=BHRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "bank-owned-life-insurance", "ticker": "BHRB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=bank-owned-life-insurance&ticker=BHRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();