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AmpliTech Group, Inc.: diluted earnings per share

Diluted earnings per share for AmpliTech Group, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All AmpliTech Group, 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 2012-01-01 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
2025-01-012025-12-31-0.33USD/shares2026-03-2610-K · 0001493152-26-012914
2024-01-012024-12-31-1.04USD/shares2026-03-2610-K · 0001493152-26-012914
2023-01-012023-12-31-0.26USD/shares2025-03-3110-K · 0001641172-25-001715
2022-01-012022-12-31-0.07USD/shares2024-04-0110-K · 0001493152-24-012177
2021-01-012021-12-31-0.53USD/shares2023-03-3110-K · 0001477932-23-001983
2020-01-012020-12-31-0.37USD/shares2022-03-3110-K · 0001477932-22-001862
2019-01-012019-12-310USD/shares2021-03-3110-K · 0001477932-21-001890
2018-01-012018-12-310USD/shares2020-03-2510-K · 0001477932-20-001496
2017-01-012017-12-310USD/shares2018-04-0210-K · 0001477932-18-001614
2016-01-012016-12-310.01USD/shares2018-04-0210-K · 0001477932-18-001614
2015-01-012015-12-310USD/shares2017-03-0210-K · 0001477932-17-001008
2014-01-012014-12-31-0.02USD/shares2016-03-3110-K · 0001477932-16-009415
2012-01-012012-12-31-0.01USD/shares2014-03-3110-K · 0001477932-14-001383

Related financial histories

Inspect the source

Entity
AmpliTech Group, Inc. / CIK 0001518461
Captured
2026-09-20T09:14:12.402Z
SEC response SHA-256
393054e787879e2d8d27dd845264ad1c66b40f774264e68368f2788708e7b2a7

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/0001518461.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"])))