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FIRST HORIZON CORP: basic earnings per share

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

All FIRST HORIZON CORP 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 2026-09-19.

Selected filing history

Basic earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-311.89USD/shares2026-02-2610-K · 0000036966-26-000051
2024-01-012024-12-311.37USD/shares2026-02-2610-K · 0000036966-26-000051
2023-01-012023-12-311.58USD/shares2026-02-2610-K · 0000036966-26-000051
2022-01-012022-12-311.62USD/shares2025-02-2710-K · 0000036966-25-000024
2021-01-012021-12-311.76USD/shares2024-02-2310-K · 0000036966-24-000015
2020-01-012020-12-311.9USD/shares2023-03-0110-K · 0000036966-23-000016
2019-01-012019-12-311.39USD/shares2022-03-0110-K · 0000036966-22-000015
2018-01-012018-12-311.66USD/shares2021-02-2510-K · 0000036966-21-000012
2017-01-012017-12-310.66USD/shares2020-02-2810-K · 0000930413-20-000605
2016-01-012016-12-310.95USD/shares2019-02-2810-K · 0000930413-19-000767
2015-01-012015-12-310.34USD/shares2018-02-2810-K · 0000930413-18-000694
2014-01-012014-12-310.92USD/shares2017-02-2710-K · 0000930413-17-000713
2013-01-012013-12-310.09USD/shares2016-02-2510-K · 0000930413-16-005653
2012-01-012012-12-31-0.11USD/shares2015-02-2410-K · 0000930413-15-000780
2011-01-012011-12-310.5USD/shares2014-02-2710-K · 0000930413-14-000958
2010-01-012010-12-31-0.25USD/shares2013-02-2710-K · 0000930413-13-001171
2009-01-012009-12-31-1.41USD/shares2012-02-2810-K · 0000930413-12-001162
2008-01-012008-12-31-0.96USD/shares2011-02-2510-K · 0000930413-11-001273

Related financial histories

Inspect the source

Entity
FIRST HORIZON CORP / CIK 0000036966
Captured
2026-09-19T11:13:20.548Z
SEC response SHA-256
31309612ad2b37eaf8414a5a5377d6def3e3db0b68e97ba17e154a00c5990572

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/0000036966.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"])))