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HORACE MANN EDUCATORS CORPORATION: basic earnings per share

Basic earnings per share for HORACE MANN EDUCATORS CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All HORACE MANN EDUCATORS CORPORATION 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Basic earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-313.93USD/shares2026-02-2710-K · 0000850141-26-000007
2024-01-012024-12-312.49USD/shares2026-02-2710-K · 0000850141-26-000007
2023-01-012023-12-311.09USD/shares2026-02-2710-K · 0000850141-26-000007
2022-01-012022-12-310.48USD/shares2025-02-2810-K · 0001628280-25-008838
2021-01-012021-12-314.06USD/shares2024-02-2710-K · 0001628280-24-007168
2020-01-012020-12-313.18USD/shares2023-02-2810-K · 0001628280-23-005501
2019-01-012019-12-314.42USD/shares2022-02-2510-K · 0001628280-22-003979
2018-01-012018-12-310.44USD/shares2021-02-2610-K · 0001628280-21-003421
2017-01-012017-12-314.1USD/shares2020-03-0210-K · 0001628280-20-002596
2016-01-012016-12-312.04USD/shares2019-03-0110-K · 0001628280-19-002351
2015-01-012015-12-312.23USD/shares2018-03-0110-K · 0001628280-18-002567
2014-01-012014-12-312.5USD/shares2017-03-0110-K · 0001144204-17-012103
2013-01-012013-12-312.75USD/shares2016-02-2910-K · 0001144204-16-085045
2012-01-012012-12-312.63USD/shares2015-03-0210-K · 0001144204-15-013348
2011-01-012011-12-311.77USD/shares2014-03-0310-K · 0001144204-14-012939
2010-01-012010-12-312.04USD/shares2013-02-2810-K · 0001193125-13-084660
2009-01-012009-12-311.88USD/shares2012-02-2910-K · 0001193125-12-089669

Related financial histories

Inspect the source

Entity
HORACE MANN EDUCATORS CORPORATION / CIK 0000850141
Captured
2026-09-19T15:10:07.350Z
SEC response SHA-256
02709c71fa8de810d2f35a37022a72407c548b0d87ba0b6d060c404a44b72e77

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/0000850141.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"])))