LIQUIDMETAL TECHNOLOGIES INC: diluted earnings per share

Name: LIQUIDMETAL TECHNOLOGIES INC: diluted earnings per share
Creator: LIQUIDMETAL TECHNOLOGIES INC

Diluted earnings per share for LIQUIDMETAL TECHNOLOGIES INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LIQUIDMETAL TECHNOLOGIES INC 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 2010-01-01 to 2023-12-31. The SEC response was captured on 2026-09-20.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Diluted earnings per share in original reported units, latest-filed observation per period
Period start	Period end	Value	Unit	Filed	Source filing
2023-01-01	2023-12-31	0	USD/shares	2024-11-21	10-K/A · 0001437749-24-035959
2022-01-01	2022-12-31	0	USD/shares	2024-11-21	10-K/A · 0001437749-24-035959
2021-01-01	2021-12-31	0	USD/shares	2023-03-14	10-K · 0001437749-23-006473
2020-01-01	2020-12-31	0	USD/shares	2022-03-29	10-K · 0001437749-22-007571
2019-01-01	2019-12-31	-0.01	USD/shares	2021-03-09	10-K · 0001437749-21-005422
2018-01-01	2018-12-31	-0.01	USD/shares	2020-03-10	10-K · 0001437749-20-004697
2017-01-01	2017-12-31	-0.01	USD/shares	2019-03-05	10-K · 0001437749-19-004072
2016-01-01	2016-12-31	-0.03	USD/shares	2019-03-05	10-K · 0001437749-19-004072
2015-01-01	2015-12-31	-0.02	USD/shares	2018-03-06	10-K · 0001437749-18-004036
2014-01-01	2014-12-31	-0.01	USD/shares	2017-03-10	10-K · 0001437749-17-004289
2013-01-01	2013-12-31	-0.04	USD/shares	2016-03-07	10-K · 0001437749-16-026976
2012-01-01	2012-12-31	-0.07	USD/shares	2014-10-07	10-K · 0001437749-14-018084
2011-01-01	2011-12-31	0.03	USD/shares	2013-02-26	10-K · 0001140361-13-009347
2010-01-01	2010-12-31	-0.27	USD/shares	2012-03-30	10-K · 0001140361-12-018391

Related financial histories

Inspect the source

Entity: LIQUIDMETAL TECHNOLOGIES INC / CIK 0001141240
Captured: 2026-09-20T07:42:00.908Z
SEC response SHA-256: 0ab3dc29300587829b1f506a3eedef1e0232082186a704128dcd37fc0a0c5569

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/0001141240.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"])))