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ARCBEST CORPORATION: basic earnings per share

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

All ARCBEST 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 2008-01-01 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
2025-01-012025-12-312.63USD/shares2026-02-2510-K · 0001104659-26-019699
2024-01-012024-12-317.39USD/shares2026-02-2510-K · 0001104659-26-019699
2023-01-012023-12-318.14USD/shares2026-02-2510-K · 0001104659-26-019699
2022-01-012022-12-3112.13USD/shares2025-03-0310-K · 0001558370-25-002037
2021-01-012021-12-318.38USD/shares2024-02-2310-K · 0001558370-24-001622
2020-01-012020-12-312.8USD/shares2023-02-2410-K · 0001558370-23-002053
2019-01-012019-12-311.56USD/shares2022-02-2510-K · 0001558370-22-002184
2018-01-012018-12-312.61USD/shares2021-02-2610-K · 0001558370-21-002023
2017-01-012017-12-312.32USD/shares2020-02-2810-K · 0001558370-20-001796
2016-01-012016-12-310.72USD/shares2019-02-2810-K · 0001558370-19-001332
2015-01-012015-12-311.71USD/shares2018-02-2810-K · 0001558370-18-001312
2014-01-012014-12-311.69USD/shares2017-02-2810-K · 0001558370-17-001164
2013-01-012013-12-310.59USD/shares2016-02-2610-K · 0001558370-16-003625
2012-01-012012-12-31-0.31USD/shares2015-03-0210-K · 0001104659-15-015842
2011-01-012011-12-310.23USD/shares2014-02-2810-K · 0001445305-14-000790
2010-01-012010-12-31-1.3USD/shares2013-02-2810-K · 0001104659-13-015733
2009-01-012009-12-31-5.12USD/shares2012-02-2910-K · 0001104659-12-014180
2008-01-012008-12-311.14USD/shares2011-02-2310-K · 0001104659-11-009380

Related financial histories

Inspect the source

Entity
ARCBEST CORPORATION / CIK 0000894405
Captured
2026-09-20T05:04:12.049Z
SEC response SHA-256
84141652d5409a0e7b0f86f2c3f0e81cc0cfbe8678d2e0610541e4fbd868aa1a

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/0000894405.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"])))