City Holding (CHCO) FDIC Insurance (2013 - 2026)
City Holding (CHCO) posted FDIC Insurance of $777,000 for Q3 2026, up 2.1% from $761,000 a year earlier and up 0.6% from the prior quarter.
City Holding (CHCO) FDIC Insurance (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, FDIC Insurance at City Holding was $3.11 million, up 2.9% year-over-year; for FY2025, it was $3.05 million, up 5.4% from FY2024.
- Annual FDIC Insurance shows a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- In prior years, City Holding's FDIC Insurance was $2.89 million in FY2024 (-1.0%), $2.92 million in FY2023 (+74.7%), $1.67 million in FY2022 (+5.7%) and $1.58 million in FY2021 (+79.1%).
- Quarterly FDIC Insurance has run from a low of $400,000 in Q4 2021 to a high of $919,000 in Q3 2023 over five years.
- On a year-over-year basis, FDIC Insurance has increased in each of the last seven quarters, with growth averaging 1.7% over the last eight quarters.
- The strongest year-over-year quarter for FDIC Insurance in the past five years was Q3 2023, with growth of 120.9%; the weakest was Q3 2024, with a decline of 20.1%.
- According to Business Quant data, FDIC Insurance for the three prior quarters was $772,000 (Q2 2026), $805,000 (Q1 2026) and $756,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FDIC Insurance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 3.57 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | City Holding | 1.98 Bn | 1.02 Bn | - | 777,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 777,000.00 |
| Jun 30, 2026 | 772,000.00 |
| Mar 31, 2026 | 805,000.00 |
| Dec 31, 2025 | 756,000.00 |
| Sep 30, 2025 | 761,000.00 |
| Jun 30, 2025 | 756,000.00 |
| Mar 31, 2025 | 776,000.00 |
| Dec 31, 2024 | 729,000.00 |
| Sep 30, 2024 | 734,000.00 |
| Jun 30, 2024 | 718,000.00 |
| Mar 31, 2024 | 711,000.00 |
| Dec 31, 2023 | 868,000.00 |
| Sep 30, 2023 | 919,000.00 |
| Jun 30, 2023 | 690,000.00 |
| Mar 31, 2023 | 445,000.00 |
| Dec 31, 2022 | 414,000.00 |
| Sep 30, 2022 | 416,000.00 |
| Jun 30, 2022 | 409,000.00 |
| Mar 31, 2022 | 435,000.00 |
| Dec 31, 2021 | 400,000.00 |
City Holding FDIC 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=fdic-insurance&ticker=CHCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-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=fdic-insurance&ticker=CHCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();