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CERAGON NETWORKS LTD: diluted earnings per share

Diluted earnings per share for CERAGON NETWORKS LTD. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CERAGON NETWORKS LTD financial histories

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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 2026-09-20.

Selected filing history

Diluted earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-0.02USD/shares2026-04-1520-F · 0001178913-26-002118
2024-01-012024-12-310.27USD/shares2026-04-1520-F · 0001178913-26-002118
2023-01-012023-12-310.07USD/shares2026-04-1520-F · 0001178913-26-002118
2022-01-012022-12-31-0.23USD/shares2025-03-2520-F · 0001178913-25-000997
2021-01-012021-12-31-0.18USD/shares2024-03-2120-F · 0001178913-24-001034
2020-01-012020-12-31-0.21USD/shares2023-05-0120-F · 0001178913-23-001573
2019-01-012019-12-31-0.03USD/shares2021-03-0820-F · 0001178913-21-000952
2018-01-012018-12-310.28USD/shares2021-03-0820-F · 0001178913-21-000952
2017-01-012017-12-310.19USD/shares2020-03-3120-F · 0001178913-20-000976
2016-01-012016-12-310.15USD/shares2019-04-0120-F · 0001178913-19-000997
2015-01-012015-12-310.01USD/shares2018-03-2720-F · 0001178913-18-000977
2014-01-012014-12-31-1.22USD/shares2017-04-0720-F · 0001178913-17-001087
2013-01-012013-12-31-1.23USD/shares2016-03-2320-F · 0001178913-16-004817
2012-01-012012-12-31-0.64USD/shares2013-04-0320-F · 0001178913-13-000993
2011-01-012011-12-31-1.49USD/shares2013-04-0320-F · 0001178913-13-000993
2010-01-012010-12-310.38USD/shares2013-04-0320-F · 0001178913-13-000993
2009-01-012009-12-310.1USD/shares2012-04-0520-F · 0001178913-12-001021

Related financial histories

Inspect the source

Entity
CERAGON NETWORKS LTD / CIK 0001119769
Captured
2026-09-20T07:39:44.198Z
SEC response SHA-256
be888af0e8e3f0d92df51f8f38bb5a217258cfd919f72788187592822cc0dee1

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/0001119769.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"])))