Skip to content

AMERICAN PUBLIC EDUCATION, INC.: diluted earnings per share

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

All AMERICAN PUBLIC EDUCATION, 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 2007-01-01 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
2025-01-012025-12-311.36USD/shares2026-03-1210-K · 0001201792-26-000004
2024-01-012024-12-310.55USD/shares2026-03-1210-K · 0001201792-26-000004
2023-01-012023-12-31-2.93USD/shares2026-03-1210-K · 0001201792-26-000004
2022-01-012022-12-31-6.08USD/shares2025-03-0610-K · 0001201792-25-000004
2021-01-012021-12-310.97USD/shares2024-03-0510-K · 0001201792-24-000005
2020-01-012020-12-311.25USD/shares2023-03-1410-K · 0001201792-23-000004
2019-01-012019-12-310.62USD/shares2022-03-0210-K · 0001201792-22-000003
2018-01-012018-12-311.54USD/shares2021-03-0910-K · 0001201792-21-000003
2017-01-012017-12-311.29USD/shares2020-03-1010-K · 0001201792-20-000006
2016-01-012016-12-311.49USD/shares2019-03-1210-K · 0001201792-19-000003
2015-01-012015-12-311.93USD/shares2018-02-2710-K · 0001201792-18-000003
2014-01-012014-12-312.33USD/shares2017-03-0110-K · 0001201792-17-000003
2013-01-012013-12-312.35USD/shares2016-02-2910-K · 0001201792-16-000005
2012-01-012012-12-312.35USD/shares2015-02-2610-K · 0001157523-15-000731
2011-01-012011-12-312.23USD/shares2014-02-2710-K · 0001157523-14-000857
2010-01-012010-12-311.59USD/shares2013-02-2810-K · 0001157523-13-001136
2009-01-012009-12-311.27USD/shares2012-02-2810-K · 0001157523-12-001093
2008-01-012008-12-310.86USD/shares2011-02-1810-K · 0001157523-11-001005
2007-01-012007-12-310.64USD/shares2010-02-2210-K · 0001157523-10-001098

Related financial histories

Inspect the source

Entity
AMERICAN PUBLIC EDUCATION, INC. / CIK 0001201792
Captured
2026-09-20T07:45:38.071Z
SEC response SHA-256
27e9d7df128a1ab8af74557c9afc6e9e672b6488929c8edd2cbc6129d759e81b

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/0001201792.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"])))