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CITY HOLDING COMPANY: diluted weighted-average shares

Diluted weighted-average shares for CITY HOLDING COMPANY. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CITY HOLDING COMPANY financial histories

What this measure means

Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.

Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3114,482,000shares2026-02-2510-K · 0000726854-26-000062
2024-01-012024-12-3114,697,000shares2026-02-2510-K · 0000726854-26-000062
2023-01-012023-12-3114,891,000shares2026-02-2510-K · 0000726854-26-000062
2022-01-012022-12-3114,873,000shares2025-02-2610-K · 0000726854-25-000037
2021-01-012021-12-3115,407,000shares2024-02-2810-K · 0000726854-24-000040
2020-01-012020-12-3115,995,000shares2023-02-2210-K · 0000726854-23-000015
2019-01-012019-12-3116,333,000shares2022-02-2410-K · 0000726854-22-000033
2018-01-012018-12-3115,439,000shares2021-02-2410-K · 0000726854-21-000047
2017-01-012017-12-3115,436,000shares2020-02-2710-K · 0000726854-20-000044
2016-01-012016-12-3114,913,000shares2019-03-1110-K · 0000726854-19-000049
2015-01-012015-12-3115,171,000shares2018-02-2810-K · 0000726854-18-000010
2014-01-012014-12-3115,488,000shares2017-02-2710-K · 0000726854-17-000011
2013-01-012013-12-3115,708,000shares2016-03-0210-K · 0000726854-16-000064
2012-01-012012-12-3114,796,000shares2015-02-2710-K · 0000726854-15-000007
2011-01-012011-12-3115,130,000shares2014-03-0710-K · 0000726854-14-000009
2010-01-012010-12-3115,651,000shares2013-03-1510-K · 0000726854-13-000019
2009-01-012009-12-3115,932,000shares2012-03-1510-K · 0000726854-12-000007

Related financial histories

Inspect the source

Entity
CITY HOLDING COMPANY / CIK 0000726854
Captured
2026-09-19T15:00:21.527Z
SEC response SHA-256
641ee69d7ff2f06d017d5294fad8e45fdf45af41b264a47a515177a38c4162cb

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000726854.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))