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COSTCO WHOLESALE CORP /NEW: revenue

Revenue for COSTCO WHOLESALE CORP /NEW. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All COSTCO WHOLESALE CORP /NEW financial histories

What this measure means

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

Exact concept: us-gaap:Revenues. 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 2007-09-03 to 2025-08-31. The SEC response was captured on 2026-09-19.

Selected filing history

Revenue in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-09-022025-08-31275,235,000,000USD2025-10-0810-K · 0000909832-25-000101
2023-09-042024-09-01254,453,000,000USD2025-10-0810-K · 0000909832-25-000101
2022-08-292023-09-03242,290,000,000USD2025-10-0810-K · 0000909832-25-000101
2021-08-302022-08-28226,954,000,000USD2024-10-0910-K · 0000909832-24-000049
2020-08-312021-08-29195,929,000,000USD2023-10-1110-K · 0000909832-23-000042
2019-09-022020-08-30166,761,000,000USD2022-10-0510-K · 0000909832-22-000021
2018-09-032019-09-01152,703,000,000USD2021-10-0610-K · 0000909832-21-000014
2017-09-042018-09-02141,576,000,000USD2020-10-0710-K · 0000909832-20-000017
2016-08-292017-09-03129,025,000,000USD2019-10-1110-K · 0000909832-19-000019
2015-08-312016-08-28118,719,000,000USD2018-10-2610-K · 0000909832-18-000013
2014-09-012015-08-30116,199,000,000USD2017-10-1810-K · 0000909832-17-000014
2013-09-022014-08-31112,640,000,000USD2016-10-1210-K · 0000909832-16-000032
2012-09-032013-09-01105,156,000,000USD2015-10-1410-K · 0000909832-15-000014
2011-08-292012-09-0299,137,000,000USD2014-10-1510-K · 0000909832-14-000021
2010-08-302011-08-2888,915,000,000USD2013-10-1610-K · 0001445305-13-002422
2009-08-312010-08-2977,946,000,000USD2012-10-1910-K · 0001193125-12-428890
2008-09-012009-08-3071,422,000,000USD2011-10-1410-K · 0001193125-11-271844
2007-09-032008-08-3172,483,000,000USD2010-10-1810-K · 0001193125-10-230379

Related financial histories

Inspect the source

Entity
COSTCO WHOLESALE CORP /NEW / CIK 0000909832
Captured
2026-09-19T11:15:18.298Z
SEC response SHA-256
71a4fd99c86f27c3aa27b8f05b3a9705c16f0060b425395bb1a367ce239b7d1f

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/0000909832.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"])))