MILESTONE SCIENTIFIC INC.: common shares outstanding

Name: MILESTONE SCIENTIFIC INC.: common shares outstanding
Creator: MILESTONE SCIENTIFIC INC.

Common shares outstanding for MILESTONE SCIENTIFIC INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MILESTONE SCIENTIFIC INC. financial histories

What this measure means

Common shares outstanding at the reporting date. This point-in-time count differs from the weighted-average shares used for earnings per share and can exclude other share classes.

Exact concept: us-gaap:CommonStockSharesOutstanding. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Common shares outstanding in original reported units, latest-filed observation per period
Period start	Period end	Value	Unit	Filed	Source filing
At date	2025-12-31	80,453,116	shares	2026-03-31	10-K · 0001493152-26-014117
At date	2024-12-31	78,014,465	shares	2026-03-31	10-K · 0001493152-26-014117
At date	2023-12-31	75,848,507	shares	2025-04-15	10-K · 0001437749-25-012050
At date	2022-12-31	69,273,164	shares	2024-03-29	10-K · 0001437749-24-010029
At date	2021-12-31	68,120,003	shares	2023-03-30	10-K · 0001437749-23-008658
At date	2020-12-31	64,138,102	shares	2022-03-31	10-K · 0001437749-22-007873
At date	2019-12-31	49,376,843	shares	2021-03-31	10-K · 0001437749-21-007838
At date	2018-12-31	33,825,701	shares	2020-03-30	10-K · 0001437749-20-006563
At date	2017-12-31	33,158,238	shares	2019-04-01	10-K · 0001437749-19-006239
At date	2016-12-31	30,423,891	shares	2018-04-02	10-K · 0001437749-18-006069
At date	2015-12-31	21,687,164	shares	2017-03-31	10-K · 0001437749-17-005780
At date	2014-12-31	21,371,161	shares	2016-04-06	10-K · 0001564590-16-015942
At date	2013-12-31	17,726,207	shares	2015-04-01	10-K · 0001564590-15-002296
At date	2012-12-31	16,529,973	shares	2014-03-13	10-K · 0001564590-14-000701
At date	2011-12-31	15,523,545	shares	2013-03-13	10-K · 0001193125-13-105429
At date	2010-12-31	14,882,626	shares	2012-03-13	10-K · 0001193125-12-111926

Related financial histories

Inspect the source

Entity: MILESTONE SCIENTIFIC INC. / CIK 0000855683
Captured: 2026-09-19T11:14:56.895Z
SEC response SHA-256: 362fb0aa83d37d18fac469b6e68835a82a547d733d8af8080ddcc72b4e184c75

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/0000855683.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"])))