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THE Cheesecake Factory Incorporated: share-based compensation expense

THE Cheesecake Factory share-based compensation expense: $27.2 million for the year ending 2025-12-30, down 9.1% on the year. 18 values since 2008.

All THE Cheesecake Factory Incorporated financial histories

At a glance

THE Cheesecake Factory reported share-based compensation expense of $27.2 million for the year ending 2025-12-30, down 9.1% from $30.0 million a year earlier. From 2008 to 2025 it grew at a compound 4.4% a year, from $13.1 million to $27.2 million. Across the last five reported years it ranged from $23.0 million (2021-12-28) to $30.0 million (2024-12-31). That was 0.7% of revenue ($3.75 billion) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. 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 2008-01-02 to 2025-12-30. The SEC response was captured on 2026-09-20.

Selected filing history

Share-based compensation expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3027,234,000USD2026-02-2310-K · 0001104659-26-018643 SEC
2024-01-032024-12-3129,962,000USD2026-02-2310-K · 0001104659-26-018643 SEC
2023-01-042024-01-0225,781,000USD2026-02-2310-K · 0001104659-26-018643 SEC
2021-12-292023-01-0324,426,000USD2025-02-2410-K · 0001410578-25-000195 SEC
2020-12-302021-12-2822,988,000USD2024-02-2610-K · 0001104659-24-027565 SEC
2020-01-012020-12-2921,350,000USD2023-02-2710-K · 0001104659-23-026072 SEC
2019-01-022019-12-3119,373,000USD2022-02-2210-K · 0001104659-22-025711 SEC
2018-01-032019-01-0119,988,000USD2021-02-2410-K · 0001104659-21-027547 SEC
2017-01-042018-01-0216,457,000USD2020-06-2210-K/A · 0001104659-20-075634 SEC
2015-12-302017-01-0321,473,000USD2019-03-0410-K · 0001104659-19-012501 SEC
2014-12-312015-12-2920,053,000USD2018-02-2810-K · 0001104659-18-013503 SEC
2014-01-012014-12-3016,817,000USD2017-03-0210-K · 0001104659-17-013246 SEC
2013-01-022013-12-3114,135,000USD2016-02-2510-K · 0001104659-16-100056 SEC
2012-01-042013-01-0110,838,000USD2015-03-0210-K · 0001104659-15-015350 SEC
2010-12-292012-01-039,635,000USD2014-02-2710-K · 0001104659-14-014213 SEC
2009-12-302010-12-2810,913,000USD2013-02-2810-K · 0001104659-13-016153 SEC
2008-12-312009-12-2914,610,000USD2012-02-2910-K · 0001104659-12-014640 SEC
2008-01-022008-12-3013,132,000USD2011-02-2310-K · 0001104659-11-009361 SEC

Related THE CHEESECAKE FACTORY INCORPORATED histories

All 59 THE Cheesecake Factory histories

Inspect the source

Entity
THE CHEESECAKE FACTORY INCORPORATED / CIK 0000887596
Captured
SEC response SHA-256
ddcc79b97f0c49bdc83de653152baab322c2e319acedefd6fcf2e336f40ca5c7

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.

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Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000887596.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"])))