INTUITIVE MACHINES, INC.: contract revenue excluding tax

What this measure means

Revenue from customer contracts excluding assessed taxes under this specific taxonomy concept. It is not automatically comparable to older revenue tags.

Exact concept: us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax. 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 2022-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• INTUITIVE MACHINES, INC.: total assets
• INTUITIVE MACHINES, INC.: total liabilities
• INTUITIVE MACHINES, INC.: stockholders equity
• INTUITIVE MACHINES, INC.: cash and cash equivalents
• INTUITIVE MACHINES, INC.: net income or loss
• INTUITIVE MACHINES, INC.: operating cash flow
• INTUITIVE MACHINES, INC.: capital expenditure payments
• INTUITIVE MACHINES, INC.: financing cash flow
• INTUITIVE MACHINES, INC.: investing cash flow
• INTUITIVE MACHINES, INC.: retained earnings or deficit
• INTUITIVE MACHINES, INC.: basic weighted-average shares
• INTUITIVE MACHINES, INC.: diluted weighted-average shares
• INTUITIVE MACHINES, INC.: basic earnings per share
• INTUITIVE MACHINES, INC.: diluted earnings per share
• INTUITIVE MACHINES, INC.: income tax expense or benefit
• INTUITIVE MACHINES, INC.: net property, plant and equipment
• INTUITIVE MACHINES, INC.: share-based compensation expense
• INTUITIVE MACHINES, INC.: operating income or loss
• INTUITIVE MACHINES, INC.: current assets
• INTUITIVE MACHINES, INC.: current liabilities
• INTUITIVE MACHINES, INC.: net current accounts receivable

Inspect the source

Entity

INTUITIVE MACHINES, INC. / CIK 0001844452

Captured

2026-09-21T17:31:50.907Z

SEC response SHA-256

cb583a82541486c94a2b54df90f490b31900788041b7ae9e645587b05ac8574e

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/0001844452.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"])))