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BATH & BODY WORKS, INC.: gross profit

Gross profit for BATH & BODY WORKS, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All BATH & BODY WORKS, INC. financial histories

What this measure means

Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.

Exact concept: us-gaap:GrossProfit. 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 2007-02-04 to 2026-01-31. The SEC response was captured on 2026-09-19.

Selected filing history

Gross profit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-02-022026-01-313,189,000,000USD2026-03-1210-K · 0000701985-26-000008
2024-02-042025-02-013,234,000,000USD2026-03-1210-K · 0000701985-26-000008
2023-01-292024-02-033,236,000,000USD2026-03-1210-K · 0000701985-26-000008
2022-01-302023-01-283,255,000,000USD2025-03-1410-K · 0000701985-25-000011
2021-01-312022-01-293,855,000,000USD2024-03-2210-K · 0000701985-24-000010
2020-02-022021-01-303,096,000,000USD2023-03-1710-K · 0000701985-23-000008
2019-02-032020-02-012,387,000,000USD2022-03-1810-K · 0000701985-22-000009
2018-02-042019-02-024,899,000,000USD2021-03-1910-K · 0000701985-21-000011
2017-01-292018-02-034,959,000,000USD2020-03-3010-K · 0000701985-20-000010
2016-01-312017-01-285,125,000,000USD2019-03-2210-K · 0000701985-19-000015
2015-02-012016-01-305,204,000,000USD2018-03-2310-K · 0000701985-18-000018
2014-02-022015-01-314,808,000,000USD2017-03-1710-K · 0000701985-17-000022
2013-02-032014-02-014,429,000,000USD2016-03-1810-K · 0000701985-16-000051
2012-01-292013-02-024,386,000,000USD2015-03-2010-K · 0000701985-15-000006
2011-01-302012-01-284,057,000,000USD2014-03-2110-K · 0000701985-14-000013
2010-01-312011-01-293,631,000,000USD2013-03-2210-K · 0000701985-13-000012
2009-02-012010-01-303,028,000,000USD2012-03-2310-K · 0000701985-12-000021
2008-02-032009-01-313,006,000,000USD2011-03-1810-K · 0001193125-11-071220
2007-02-042008-02-023,509,000,000USD2010-03-2610-K · 0001193125-10-068571

Related financial histories

Inspect the source

Entity
BATH & BODY WORKS, INC. / CIK 0000701985
Captured
2026-09-19T11:14:05.181Z
SEC response SHA-256
32cf34f9234848168739faf889c7115a9bb833efe026ce6b3a784af3496abf17

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/0000701985.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"])))