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J.B. HUNT TRANSPORT SERVICES, INC.: diluted earnings per share

Diluted earnings per share for J.B. HUNT TRANSPORT SERVICES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All J.B. HUNT TRANSPORT SERVICES, INC. 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 2026-09-19.

Selected filing history

Diluted earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-316.12USD/shares2026-02-2410-K · 0001437749-26-005294
2024-01-012024-12-315.56USD/shares2026-02-2410-K · 0001437749-26-005294
2023-01-012023-12-316.97USD/shares2026-02-2410-K · 0001437749-26-005294
2022-01-012022-12-319.21USD/shares2025-02-2110-K · 0001437749-25-004736
2021-01-012021-12-317.14USD/shares2024-02-2310-K · 0001437749-24-005368
2020-01-012020-12-314.74USD/shares2023-02-2410-K · 0001437749-23-004530
2019-01-012019-12-314.77USD/shares2022-02-2510-K · 0001437749-22-004457
2018-01-012018-12-314.43USD/shares2021-02-2310-K · 0001437749-21-003667
2017-01-012017-12-316.18USD/shares2020-03-0210-K · 0001437749-20-004119
2016-01-012016-12-313.81USD/shares2019-02-2210-K · 0001437749-19-003134
2015-01-012015-12-313.66USD/shares2018-02-2310-K · 0001437749-18-003239
2014-01-012014-12-313.16USD/shares2017-02-2310-K · 0001437749-17-003083
2013-01-012013-12-312.87USD/shares2016-02-2310-K · 0001437749-16-025879
2012-01-012012-12-312.59USD/shares2015-02-2410-K · 0001437749-15-003305
2011-01-012011-12-312.11USD/shares2014-02-2110-K · 0001437749-14-002605
2010-01-012010-12-311.56USD/shares2013-02-2210-K · 0001437749-13-001883
2009-01-012009-12-311.05USD/shares2012-02-2410-K · 0001437749-12-001745
2008-01-012008-12-311.56USD/shares2011-02-2510-K · 0001437749-11-001088

Related financial histories

Inspect the source

Entity
J.B. HUNT TRANSPORT SERVICES, INC. / CIK 0000728535
Captured
2026-09-19T15:00:31.352Z
SEC response SHA-256
eccf1a7b1d2d22679ccf882106106a1c5f28a54537256e4d13f32d6554b1f788

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/0000728535.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"])))