City Holding (CHCO) Bank-Owned Life Insurance (2010 - 2026)
City Holding's Bank-Owned Life Insurance came in at $126.83 million for Q3 2026, up 2.7% from $123.51 million a year earlier and up 0.8% from the prior quarter.
City Holding (CHCO) Bank-Owned Life Insurance (2010 - 2026) Analysis & Trends
At the end of FY2025, City Holding's Bank-Owned Life Insurance was $124.37 million, up 2.9% from FY2024.
- Bank-Owned Life Insurance carries a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- Going back by year, Bank-Owned Life Insurance was $120.89 million in FY2024 (+2.3%), $118.12 million in FY2023 (-2.1%), $120.67 million in FY2022 (-0.3%) and $120.98 million in FY2021 (+2.3%).
- The Q3 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 ten consecutive quarters, with growth averaging 2.6% over the last eight quarters.
- The fastest year-over-year change in Bank-Owned Life Insurance over five years came in Q1 2023 (growth of 3.1%), and the weakest in Q1 2024 (a decline of 4.3%).
- Business Quant data shows CHCO's Bank-Owned Life Insurance at $125.86 million (Q2 2026), $124.98 million (Q1 2026) and $124.37 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | BOLI (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 917.27 Bn | 917.27 Bn | - | - |
| 2 | Bank Of America | 363.07 Bn | -2,013.04 Bn | - | - |
| 3 | Hsbc Holdings | 313.58 Bn | -1,790.01 Bn | - | - |
| 4 | Morgan Stanley | 293.32 Bn | -250.71 Bn | - | - |
| 5 | Royal Bank Of Canada | 287.28 Bn | -542.76 Bn | - | - |
| 6 | Goldman Sachs | 268.90 Bn | -3,474.55 Bn | - | - |
| 7 | Wells Fargo & Company | 259.27 Bn | 259.27 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 246.97 Bn | -94.42 Bn | 10.89 Bn | - |
| 9 | American Express | 218.91 Bn | 18.40 Bn | - | - |
| 10 | City Holding | 2.01 Bn | 1.05 Bn | - | 126.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.83 Mn |
| Jun 30, 2026 | 125.86 Mn |
| Mar 31, 2026 | 124.98 Mn |
| Dec 31, 2025 | 124.37 Mn |
| Sep 30, 2025 | 123.51 Mn |
| Jun 30, 2025 | 122.59 Mn |
| Mar 31, 2025 | 121.74 Mn |
| Dec 31, 2024 | 120.89 Mn |
| Sep 30, 2024 | 120.06 Mn |
| Jun 30, 2024 | 119.65 Mn |
| Mar 31, 2024 | 118.88 Mn |
| Dec 31, 2023 | 118.12 Mn |
| Sep 30, 2023 | 117.98 Mn |
| Jun 30, 2023 | 117.17 Mn |
| Mar 31, 2023 | 124.24 Mn |
| Dec 31, 2022 | 120.67 Mn |
| Sep 30, 2022 | 121.28 Mn |
| Jun 30, 2022 | 120.53 Mn |
| Mar 31, 2022 | 120.52 Mn |
| Dec 31, 2021 | 120.98 Mn |
City Holding 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=CHCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "bank-owned-life-insurance", "ticker": "CHCO", "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=CHCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();