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CLEAN ENERGY TECHNOLOGIES, INC.: diluted earnings per share

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

All CLEAN ENERGY 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 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
2025-01-012025-12-31-1.55USD/shares2026-06-0510-K · 0001493152-26-027409
2024-01-012024-12-31-1.58USD/shares2026-06-0510-K · 0001493152-26-027409
2023-01-012023-12-31-2.19USD/shares2026-06-0510-K/A · 0001493152-26-027379
2022-01-012022-12-310USD/shares2024-06-2010-K/A · 0001493152-24-024452
2020-01-012020-12-310USD/shares2021-04-1510-K · 0001493152-21-008856
2019-01-012019-12-310USD/shares2021-04-1510-K · 0001493152-21-008856
2017-01-012017-12-31-0.01USD/shares2018-04-1610-K · 0001329606-18-000013
2016-01-012016-12-31-0.01USD/shares2018-04-1610-K · 0001329606-18-000013
2015-01-012015-12-31-0.04USD/shares2017-04-2810-K · 0001329606-17-000024
2014-01-012014-12-31-0.05USD/shares2016-04-1410-K · 0001504412-16-000225
2013-01-012013-12-31-0.03USD/shares2015-04-2810-K · 0001504412-15-000104
2012-01-012012-12-31-0.01USD/shares2014-04-1510-K · 0001504412-14-000114
2011-01-012011-12-310USD/shares2013-04-0110-K · 0001504412-13-000109
2010-01-012010-12-310.0012USD/shares2012-04-0910-K · 0001504412-12-000032

Related financial histories

Inspect the source

Entity
CLEAN ENERGY TECHNOLOGIES, INC. / CIK 0001329606
Captured
2026-09-20T07:53:11.214Z
SEC response SHA-256
04672299faa1fc28f647c1b73138f55d3fb43b42ec27aefdcc86dffbd3b6b14f

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/0001329606.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"])))