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MILLER INDUSTRIES, INC.: diluted earnings per share

Diluted earnings per share for MILLER INDUSTRIES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MILLER INDUSTRIES, 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 2009-01-01 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
2025-01-012025-12-311.98USD/shares2026-03-0410-K · 0001104659-26-023486
2024-01-012024-12-315.47USD/shares2026-03-0410-K · 0001104659-26-023486
2023-01-012023-12-315.07USD/shares2026-03-0410-K · 0001104659-26-023486
2022-01-012022-12-311.78USD/shares2025-03-0510-K · 0001558370-25-002276
2021-01-012021-12-311.42USD/shares2024-03-0610-K · 0001558370-24-002625
2020-01-012020-12-312.62USD/shares2023-03-0810-K · 0001558370-23-003178
2019-01-012019-12-313.43USD/shares2023-03-0810-K · 0001558370-23-003178
2018-01-012018-12-312.96USD/shares2021-03-0310-K · 0000924822-21-000009
2017-01-012017-12-312.02USD/shares2020-03-0410-K · 0000924822-20-000010
2016-01-012016-12-311.75USD/shares2019-03-0610-K · 0001144204-19-012559
2015-01-012015-12-311.41USD/shares2018-03-0710-K · 0001144204-18-013387
2014-01-012014-12-311.31USD/shares2017-03-1510-K · 0001571049-17-002448
2013-01-012013-12-310.82USD/shares2016-03-0910-K · 0001571049-16-012829
2012-01-012012-12-310.82USD/shares2015-03-0410-K · 0001571049-15-001634
2011-01-012011-12-311.92USD/shares2014-03-0510-K · 0001188112-14-000593
2010-01-012010-12-310.96USD/shares2013-03-0610-K · 0001188112-13-000569
2009-01-012009-12-310.51USD/shares2012-03-0710-K · 0001188112-12-000621

Related financial histories

Inspect the source

Entity
MILLER INDUSTRIES, INC. / CIK 0000924822
Captured
2026-09-20T05:08:33.265Z
SEC response SHA-256
59b2f9b709dc9db768704a24036921c3ad4bb14e7ba860277d8babea1848dc4a

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/0000924822.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"])))