Oracle Corporation: revenue

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 2007-06-01 to 2026-05-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Oracle Corporation: total assets
• Oracle Corporation: stockholders equity
• Oracle Corporation: cash and cash equivalents
• Oracle Corporation: net income or loss
• Oracle Corporation: operating cash flow
• Oracle Corporation: capital expenditure payments
• Oracle Corporation: contract revenue excluding tax
• Oracle Corporation: financing cash flow
• Oracle Corporation: investing cash flow
• Oracle Corporation: retained earnings or deficit
• Oracle Corporation: basic weighted-average shares
• Oracle Corporation: diluted weighted-average shares
• Oracle Corporation: basic earnings per share
• Oracle Corporation: diluted earnings per share
• Oracle Corporation: income tax expense or benefit
• Oracle Corporation: net property, plant and equipment
• Oracle Corporation: share-based compensation expense
• Oracle Corporation: operating income or loss
• Oracle Corporation: current assets
• Oracle Corporation: interest expense
• Oracle Corporation: current liabilities
• Oracle Corporation: current accounts payable
• Oracle Corporation: goodwill carrying amount
• Oracle Corporation: net finite-lived intangible assets
• Oracle Corporation: net current accounts receivable
• Oracle Corporation: common-stock repurchase payments
• Oracle Corporation: net inventory
• Oracle Corporation: gross profit
• Oracle Corporation: cost of revenue
• Oracle Corporation: research and development expense

Inspect the source

Entity

Oracle Corporation / CIK 0001341439

Captured

2026-09-20T07:54:19.658Z

SEC response SHA-256

0d7b72e393501d13b2d61b2d6663689e14b9abf83427315bc0820cd2802c43f7

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.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001341439.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"])))