City Holding (CHCO) Change in Other Operating Liabilities (2010 - 2026)
City Holding's Change in Other Operating Liabilities came in at -$3.46 million for Q2 2026, compared with -$9.14 million a year earlier.
City Holding (CHCO) Change in Other Operating Liabilities (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, City Holding reported Change in Other Operating Liabilities of $9.02 million, up 150.5% year-over-year; for FY2025, it came in at $9.77 million.
- Change in Other Operating Liabilities carries a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Going back by year, Change in Other Operating Liabilities was -$7.91 million in FY2024, -$3.2 million in FY2023, $20.07 million in FY2022 (+87.0%) and $10.73 million in FY2021 (-6.9%).
- The five-year range for quarterly Change in Other Operating Liabilities is -$13.95 million (Q2 2023) to $12.63 million (Q1 2025).
- The fastest year-over-year change in Change in Other Operating Liabilities over five years came in Q4 2022 (growth of 367.6%), and the weakest in Q2 2022 (a decline of 99.9%).
- Business Quant data shows CHCO's Change in Other Operating Liabilities at $6.2 million (Q1 2026), $4.83 million (Q4 2025) and $1.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 14.06 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 18.40 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 6.92 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 | - | 5.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.80 Mn |
| Jun 30, 2026 | -3.46 Mn |
| Mar 31, 2026 | 6.20 Mn |
| Dec 31, 2025 | 4.83 Mn |
| Sep 30, 2025 | 1.45 Mn |
| Jun 30, 2025 | -9.14 Mn |
| Mar 31, 2025 | 12.63 Mn |
| Dec 31, 2024 | -3.98 Mn |
| Sep 30, 2024 | 4.09 Mn |
| Jun 30, 2024 | -6.65 Mn |
| Mar 31, 2024 | -1.38 Mn |
| Dec 31, 2023 | 1.39 Mn |
| Sep 30, 2023 | 2.76 Mn |
| Jun 30, 2023 | -13.95 Mn |
| Mar 31, 2023 | 6.60 Mn |
| Dec 31, 2022 | 10.93 Mn |
| Sep 30, 2022 | 4.36 Mn |
| Jun 30, 2022 | 12,000.00 |
| Mar 31, 2022 | 4.77 Mn |
| Dec 31, 2021 | 2.34 Mn |
City Holding Change in Other Operating Liabilities 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-other-operating-liabilities&ticker=CHCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "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-other-operating-liabilities&ticker=CHCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();