City Holding (CHCO) Cash from Operations (2010 - 2026)
City Holding (CHCO) reported Cash from Operations of $32.64 million for Q2 2026, up 16.0% from $28.14 million a year earlier but down 14.1% from the prior quarter.
City Holding (CHCO) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, City Holding's Cash from Operations came in at $142.37 million, up 8.6% year-over-year; for FY2025, it was $131.37 million, down 0.4% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- By year, Cash from Operations came in at $131.9 million in FY2024 (-4.1%), $137.58 million in FY2023 (+18.8%), $115.82 million in FY2022 (+13.2%) and $102.27 million in FY2021 (+13.9%).
- Five-year quarterly Cash from Operations spans a low of $16.93 million in Q2 2022 and a high of $39.9 million in Q1 2023.
- Year over year, Cash from Operations has now increased in each of the last three quarters, with growth averaging 4.8% over the last eight quarters.
- The high point for year-over-year Cash from Operations in five years was Q3 2021 (growth of 172.6%); the low point was Q1 2024 (a decline of 19.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $38.01 million (Q1 2026), $34.35 million (Q4 2025) and $37.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 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 | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | City Holding | 1.95 Bn | 970.23 Mn | - | 32.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.64 Mn |
| Mar 31, 2026 | 38.01 Mn |
| Dec 31, 2025 | 34.35 Mn |
| Sep 30, 2025 | 37.37 Mn |
| Jun 30, 2025 | 28.14 Mn |
| Mar 31, 2025 | 31.51 Mn |
| Dec 31, 2024 | 33.76 Mn |
| Sep 30, 2024 | 37.65 Mn |
| Jun 30, 2024 | 28.32 Mn |
| Mar 31, 2024 | 32.17 Mn |
| Dec 31, 2023 | 33.54 Mn |
| Sep 30, 2023 | 36.73 Mn |
| Jun 30, 2023 | 27.41 Mn |
| Mar 31, 2023 | 39.90 Mn |
| Dec 31, 2022 | 34.05 Mn |
| Sep 30, 2022 | 36.37 Mn |
| Jun 30, 2022 | 16.93 Mn |
| Mar 31, 2022 | 28.47 Mn |
| Dec 31, 2021 | 28.58 Mn |
| Sep 30, 2021 | 33.37 Mn |
City Holding Cash from Operations 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=cash-from-operations&ticker=CHCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=CHCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();