Orrstown Financial Services (ORRF) Bank-Owned Life Insurance (2010 - 2026)
Orrstown Financial Services' Bank-Owned Life Insurance came in at $147.79 million for Q2 2026, up 1.4% from $145.76 million a year earlier and up 1.2% from the prior quarter.
Orrstown Financial Services (ORRF) Bank-Owned Life Insurance (2010 - 2026) Analysis & Trends
At the end of FY2025, Orrstown Financial Services' Bank-Owned Life Insurance was $146.99 million, up 2.2% from FY2024.
- Bank-Owned Life Insurance has increased in each of the last 15 years, with a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- Going back by year, Bank-Owned Life Insurance was $143.85 million in FY2024 (+96.5%), $73.2 million in FY2023 (+2.0%), $71.76 million in FY2022 (+2.2%) and $70.22 million in FY2021 (+2.4%).
- The Q2 2026 figure represents the highest quarterly Bank-Owned Life Insurance in data going back to Q4 2010.
- Year-over-year, Bank-Owned Life Insurance has increased for 20 consecutive quarters, with growth averaging 49.1% over the last eight quarters.
- The year-over-year growth in Bank-Owned Life Insurance has ranged between 0.8% (Q1 2026) and 96.7% (Q2 2025) over the last five years.
- Business Quant data shows ORRF's Bank-Owned Life Insurance at $145.96 million (Q1 2026), $146.99 million (Q4 2025) and $146.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | BOLI (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Orrstown Financial Services | 871.80 Mn | 290.40 Mn | - | 148.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 148.35 Mn |
| Jun 30, 2026 | 147.79 Mn |
| Mar 31, 2026 | 145.96 Mn |
| Dec 31, 2025 | 146.99 Mn |
| Sep 30, 2025 | 146.02 Mn |
| Jun 30, 2025 | 145.76 Mn |
| Mar 31, 2025 | 144.80 Mn |
| Dec 31, 2024 | 143.85 Mn |
| Sep 30, 2024 | 142.90 Mn |
| Jun 30, 2024 | 74.12 Mn |
| Mar 31, 2024 | 73.66 Mn |
| Dec 31, 2023 | 73.20 Mn |
| Sep 30, 2023 | 72.75 Mn |
| Jun 30, 2023 | 72.31 Mn |
| Mar 31, 2023 | 72.18 Mn |
| Dec 31, 2022 | 71.76 Mn |
| Sep 30, 2022 | 71.33 Mn |
| Jun 30, 2022 | 70.91 Mn |
| Mar 31, 2022 | 70.62 Mn |
| Dec 31, 2021 | 70.22 Mn |
Orrstown 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=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "bank-owned-life-insurance", "ticker": "ORRF", "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=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();