TEL-INSTRUMENT ELECTRONICS CORP.: diluted weighted-average shares

Name: TEL-INSTRUMENT ELECTRONICS CORP.: diluted weighted-average shares
Creator: TEL-INSTRUMENT ELECTRONICS CORP.

Diluted weighted-average shares for TEL-INSTRUMENT ELECTRONICS CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All TEL-INSTRUMENT ELECTRONICS CORP. financial histories

What this measure means

Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.

Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2010-04-01 to 2025-03-31. The SEC response was captured on 2026-09-21.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period start	Period end	Value	Unit	Filed	Source filing
2024-04-01	2025-03-31	3,255,887	shares	2026-06-30	10-K · 0001185185-26-002742
2023-04-01	2024-03-31	3,255,887	shares	2026-06-30	10-K · 0001185185-26-002742
2022-04-01	2023-03-31	3,255,887	shares	2024-06-28	10-K · 0001185185-24-000659
2021-04-01	2022-03-31	5,095,665	shares	2023-06-15	10-K · 0001185185-23-000638
2020-04-01	2021-03-31	5,073,165	shares	2022-06-17	10-K · 0001185185-22-000747
2019-04-01	2020-03-31	4,960,665	shares	2021-06-29	10-K · 0001185185-21-000882
2018-04-01	2019-03-31	3,255,887	shares	2020-06-30	10-K · 0001185185-20-000922
2017-04-01	2018-03-31	3,255,887	shares	2019-07-01	10-K · 0001185185-19-000932
2016-04-01	2017-03-31	3,266,842	shares	2018-07-16	10-K · 0001185185-18-001258
2015-04-01	2016-03-31	3,261,153	shares	2017-07-14	10-K · 0001185185-17-001550
2014-04-01	2015-03-31	3,253,992	shares	2016-06-29	10-K · 0001185185-16-004889
2013-04-01	2014-03-31	3,228,894	shares	2015-06-25	10-K · 0001185185-15-001692
2012-04-01	2013-03-31	2,834,257	shares	2014-06-30	10-K · 0001185185-14-001672
2011-04-01	2012-03-31	2,717,820	shares	2013-07-16	10-K · 0001185185-13-001471
2010-04-01	2011-03-31	2,626,163	shares	2012-07-16	10-K · 0001185185-12-001488

Related financial histories

Inspect the source

Entity: TEL-INSTRUMENT ELECTRONICS CORP. / CIK 0000096885
Captured: 2026-09-21T17:16:26.779Z
SEC response SHA-256: 817be7340cb2aeb126031034a29596de55b4cf250d9bcbaf4fda42927ea9ac25

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/0000096885.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"])))