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Check-Cap Ltd.: diluted earnings per share

Diluted earnings per share for Check-Cap Ltd. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Check-Cap 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 2020-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Reading these values

This selected numerical history matches Basic earnings per share for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.

Context from the filing

For Check-Cap in 2023 and 2024, outstanding options and warrants are excluded as anti-dilutive during losses. For profitable 2025, the filing instead says those instruments are out of the money and therefore excluded from diluted EPS. The positive 2025 net result includes debt-extinguishment and conversion income despite an operating loss. The November 2022 one-for-twenty reverse split is already reflected retrospectively; no second adjustment is applied. Full share counts and reported EPS retain their scale-zero tags. Read the source filing.

Selected filing history

Diluted earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-310.66USD/shares2026-04-2720-F · 0001213900-26-048090
2024-01-012024-12-31-4.3USD/shares2026-04-2720-F · 0001213900-26-048090
2023-01-012023-12-31-3USD/shares2026-04-2720-F · 0001213900-26-048090
2022-01-012022-12-313.37USD/shares2025-08-2720-F · 0001213900-25-080891
2021-01-012021-12-314.14USD/shares2024-05-1520-F · 0001213900-24-043550
2020-01-012020-12-319.01USD/shares2023-03-3120-F · 0001178913-23-001275

Related financial histories

Inspect the source

Entity
Check-Cap Ltd. / CIK 0001610590
Captured
2026-09-19T11:19:33.417Z
SEC response SHA-256
35e89fe9ec2f780773f483d41211af830dd82aa934ad1d779a35906febaf2551

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/0001610590.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"])))