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MANNATECH INC: basic earnings per share

Basic earnings per share for MANNATECH INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MANNATECH INC financial histories

What this measure means

Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.

Exact concept: us-gaap:EarningsPerShareBasic. 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

Basic earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-8USD/shares2026-04-1510-K · 0001437749-26-012430
2024-01-012024-12-311.32USD/shares2026-04-1510-K · 0001437749-26-012430
2023-01-012023-12-31-1.2USD/shares2025-03-2610-K · 0001056358-25-000018
2022-01-012022-12-31-2.35USD/shares2024-03-2810-K · 0001056358-24-000026
2021-01-012021-12-314.95USD/shares2023-03-1710-K · 0001056358-23-000022
2020-01-012020-12-312.8USD/shares2022-03-1510-K · 0001056358-22-000020
2019-01-012019-12-311.38USD/shares2021-03-1910-K · 0001056358-21-000020
2018-01-012018-12-31-1.53USD/shares2020-03-2610-K · 0001056358-20-000028
2017-01-012017-12-31-0.66USD/shares2019-03-1110-K · 0001056358-19-000022
2016-01-012016-12-31-0.22USD/shares2018-03-2610-K · 0001056358-18-000026
2015-01-012015-12-312.18USD/shares2017-03-1410-K · 0001056358-17-000009
2014-01-012014-12-312.44USD/shares2016-03-1510-K · 0001140361-16-057737
2013-01-012013-12-311.2USD/shares2015-03-1010-K · 0001140361-15-011119
2012-01-012012-12-31-0.52USD/shares2014-03-1810-K · 0001140361-14-013302
2011-01-012011-12-31-7.8USD/shares2013-03-2810-K · 0001140361-13-014220
2010-01-012010-12-31-4.01USD/shares2012-03-2910-K · 0001056358-12-000015
2009-01-012009-12-31-6.56USD/shares2012-03-2910-K · 0001056358-12-000015
2008-01-012008-12-31-0.48USD/shares2011-03-1010-K · 0001056358-11-000007
2007-01-012007-12-310.25USD/shares2010-03-1110-K · 0001056358-10-000020

Related financial histories

Inspect the source

Entity
MANNATECH INC / CIK 0001056358
Captured
2026-09-20T05:17:46.854Z
SEC response SHA-256
503b6b2c91cc68b8f2b52cfba7f4eac1a21ed7ab88d06bdaaad332faa490c963

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/0001056358.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"])))