City Holding (CHCO) Change in Net Loans (2010 - 2026)
City Holding (CHCO) recorded Change in Net Loans of $8.96 million in Q2 2026, down 82.7% from $51.71 million a year earlier.
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Analysis
City Holding (CHCO) Change in Net Loans (2010 - 2026) Analysis & Trends
On a TTM basis, City Holding's Change in Net Loans came in at $166.27 million as of Jun 30, 2026, down 25.5% year-over-year; for FY2025, it was $229.76 million, up 55.4% from FY2024.
- Annual Change in Net Loans has a five-year compound annual growth rate of 125.8% (FY2020 to FY2025).
- Across earlier years, Change in Net Loans came in at $147.84 million in FY2024 (-33.9%), $223.79 million in FY2023 (+117.3%), $102.99 million in FY2022 and -$76.99 million in FY2021.
- Quarterly Change in Net Loans has ranged from -$34.02 million in Q1 2024 to $116.93 million in Q4 2024 over the past five years.
- On a year-over-year basis, Change in Net Loans rose in three of the last six quarters, with growth averaging 11.3%.
- Peak year-over-year performance for Change in Net Loans in the last five years was growth of 554.1% in Q4 2023, against a decline of 82.7% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -$10.55 million (Q1 2026), $95.43 million (Q4 2025) and $72.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | City Holding | 1.95 Bn | 970.23 Mn | - | 8.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.96 Mn |
| Mar 31, 2026 | -10.55 Mn |
| Dec 31, 2025 | 95.43 Mn |
| Sep 30, 2025 | 72.43 Mn |
| Jun 30, 2025 | 51.71 Mn |
| Mar 31, 2025 | 10.20 Mn |
| Dec 31, 2024 | 116.93 Mn |
| Sep 30, 2024 | 44.48 Mn |
| Jun 30, 2024 | 20.45 Mn |
| Mar 31, 2024 | -34.02 Mn |
| Dec 31, 2023 | 115.80 Mn |
| Sep 30, 2023 | 84.91 Mn |
| Jun 30, 2023 | 29.19 Mn |
| Mar 31, 2023 | -6.11 Mn |
| Dec 31, 2022 | 17.70 Mn |
| Sep 30, 2022 | 62.74 Mn |
| Jun 30, 2022 | 6.86 Mn |
| Mar 31, 2022 | 15.70 Mn |
| Dec 31, 2021 | 22.35 Mn |
| Sep 30, 2021 | -7.09 Mn |
API Access
City Holding Change in Net Loans 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=change-in-net-loans&ticker=CHCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=CHCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();