Hancock Whitney (HWC) Bank-Owned Life Insurance (2009 - 2026)
Hancock Whitney's Bank-Owned Life Insurance came in at $811.84 million for Q2 2026, up 4.1% from $780.24 million a year earlier and up 1.0% from the prior quarter.
Hancock Whitney (HWC) Bank-Owned Life Insurance (2009 - 2026) Analysis & Trends
At the end of FY2025, Hancock Whitney's Bank-Owned Life Insurance was $798.51 million, up 3.1% from FY2024.
- Bank-Owned Life Insurance has increased in each of the last 16 years, with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Going back by year, Bank-Owned Life Insurance was $774.54 million in FY2024 (+3.3%), $749.5 million in FY2023 (+2.7%), $729.77 million in FY2022 (+9.8%) and $664.54 million in FY2021 (+7.9%).
- The Q2 2026 figure represents the highest quarterly Bank-Owned Life Insurance in data going back to Q4 2009.
- Year-over-year, Bank-Owned Life Insurance has increased for 39 consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- The year-over-year growth in Bank-Owned Life Insurance has ranged between 1.5% (Q1 2023) and 16.3% (Q1 2022) over the last five years.
- Business Quant data shows HWC's Bank-Owned Life Insurance at $804.06 million (Q1 2026), $798.51 million (Q4 2025) and $785.82 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 | 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 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - | 820.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 820.27 Mn |
| Jun 30, 2026 | 811.84 Mn |
| Mar 31, 2026 | 804.06 Mn |
| Dec 31, 2025 | 798.51 Mn |
| Sep 30, 2025 | 785.82 Mn |
| Jun 30, 2025 | 780.24 Mn |
| Mar 31, 2025 | 776.94 Mn |
| Dec 31, 2024 | 774.54 Mn |
| Sep 30, 2024 | 765.34 Mn |
| Jun 30, 2024 | 759.67 Mn |
| Mar 31, 2024 | 756.75 Mn |
| Dec 31, 2023 | 749.50 Mn |
| Sep 30, 2023 | 745.74 Mn |
| Jun 30, 2023 | 740.63 Mn |
| Mar 31, 2023 | 736.98 Mn |
| Dec 31, 2022 | 729.77 Mn |
| Sep 30, 2022 | 725.82 Mn |
| Jun 30, 2022 | 725.66 Mn |
| Mar 31, 2022 | 726.31 Mn |
| Dec 31, 2021 | 664.54 Mn |
Hancock Whitney 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=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "bank-owned-life-insurance", "ticker": "HWC", "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=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();