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Black Hills Corporation: diluted earnings per share

Diluted earnings per share for Black Hills Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Black Hills Corporation 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 2008-01-01 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
2025-01-012025-12-313.98USD/shares2026-02-1110-K · 0001193125-26-046028
2024-01-012024-12-313.91USD/shares2026-02-1110-K · 0001193125-26-046028
2023-01-012023-12-313.91USD/shares2026-02-1110-K · 0001193125-26-046028
2022-01-012022-12-313.97USD/shares2025-02-1210-K · 0000950170-25-018647
2021-01-012021-12-313.74USD/shares2024-02-1410-K · 0000950170-24-015090
2020-01-012020-12-313.65USD/shares2023-02-1410-K · 0000950170-23-002759
2019-01-012019-12-313.28USD/shares2022-02-1510-K · 0001130464-22-000004
2018-01-012018-12-314.66USD/shares2021-02-2610-K · 0001130464-21-000007
2017-01-012017-12-313.21USD/shares2020-02-1410-K · 0001130464-20-000006
2016-01-012016-12-311.37USD/shares2019-02-1910-K · 0001130464-19-000012
2015-01-012015-12-31-0.71USD/shares2018-02-2610-K · 0001130464-18-000014
2014-01-012014-12-312.93USD/shares2017-02-2710-K · 0001130464-17-000010
2013-01-012013-12-312.64USD/shares2016-02-2510-K · 0001130464-16-000176
2012-01-012012-12-312.32USD/shares2015-08-0710-K/A · 0001130464-15-000140
2011-01-012011-12-311.24USD/shares2014-02-2610-K · 0001130464-14-000056
2010-12-312011-12-311.24USD/shares2013-02-2510-K · 0001130464-13-000071
2010-01-012010-12-311.76USD/shares2011-02-2510-K · 0001130464-11-000027
2009-12-312010-12-311.76USD/shares2013-02-2510-K · 0001130464-13-000071
2009-01-012009-12-312.11USD/shares2011-02-2510-K · 0001130464-11-000027
2008-12-312009-12-312.11USD/shares2012-02-2910-K · 0001130464-12-000024
2008-01-012008-12-312.75USD/shares2011-02-2510-K · 0001130464-11-000027

Related financial histories

Inspect the source

Entity
Black Hills Corporation / CIK 0001130464
Captured
2026-09-20T07:40:56.088Z
SEC response SHA-256
53df92a79a7d6dab4c3efb22296c357fe1694012bc342c6f6e217894d29a6bb0

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/0001130464.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"])))