Hancock Whitney (HWC) Bank-Owned Life Insurance Income (2015 - 2026)
Hancock Whitney (HWC) reported Bank-Owned Life Insurance Income of $6.32 million for Q2 2026, up 18.9% from $5.31 million a year earlier and up 19.9% from the prior quarter.
Hancock Whitney (HWC) Bank-Owned Life Insurance Income (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hancock Whitney's Bank-Owned Life Insurance Income came in at $22.75 million, up 18.8% year-over-year; for FY2025, it was $21.35 million, up 26.0% from FY2024.
- Bank-Owned Life Insurance Income has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- By year, Bank-Owned Life Insurance Income came in at $16.94 million in FY2024 (+9.6%), $15.45 million in FY2023 (-2.7%), $15.88 million in FY2022 (-13.4%) and $18.33 million in FY2021 (+0.8%).
- The Q2 2026 figure ranks as the highest quarterly Bank-Owned Life Insurance Income since Q1 2021.
- Year over year, Bank-Owned Life Insurance Income has now increased in each of the last six quarters, with growth averaging 17.8% over the last eight quarters.
- The high point for year-over-year Bank-Owned Life Insurance Income in five years was Q4 2023 (growth of 57.7%); the low point was Q1 2022 (a decline of 51.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.27 million (Q1 2026), $5.41 million (Q4 2025) and $5.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | BOLI Income (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 | - | 5.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.88 Mn |
| Jun 30, 2026 | 6.32 Mn |
| Mar 31, 2026 | 5.27 Mn |
| Dec 31, 2025 | 5.41 Mn |
| Sep 30, 2025 | 5.75 Mn |
| Jun 30, 2025 | 5.31 Mn |
| Mar 31, 2025 | 4.87 Mn |
| Dec 31, 2024 | 4.59 Mn |
| Sep 30, 2024 | 4.36 Mn |
| Jun 30, 2024 | 3.76 Mn |
| Mar 31, 2024 | 4.23 Mn |
| Dec 31, 2023 | 5.17 Mn |
| Sep 30, 2023 | 3.63 Mn |
| Jun 30, 2023 | 3.36 Mn |
| Mar 31, 2023 | 3.29 Mn |
| Dec 31, 2022 | 3.28 Mn |
| Sep 30, 2022 | 4.78 Mn |
| Jun 30, 2022 | 4.27 Mn |
| Mar 31, 2022 | 3.55 Mn |
| Dec 31, 2021 | 3.80 Mn |
Hancock Whitney Bank-Owned Life Insurance Income 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-income&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "bank-owned-life-insurance-income", "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-income&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();