ADM ENDEAVORS, 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 2017-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• ADM ENDEAVORS, INC.: total assets
• ADM ENDEAVORS, INC.: total liabilities
• ADM ENDEAVORS, INC.: stockholders equity
• ADM ENDEAVORS, INC.: cash and cash equivalents
• ADM ENDEAVORS, INC.: net income or loss
• ADM ENDEAVORS, INC.: operating cash flow
• ADM ENDEAVORS, INC.: capital expenditure payments
• ADM ENDEAVORS, INC.: revenue
• ADM ENDEAVORS, INC.: financing cash flow
• ADM ENDEAVORS, INC.: investing cash flow
• ADM ENDEAVORS, INC.: retained earnings or deficit
• ADM ENDEAVORS, INC.: basic weighted-average shares
• ADM ENDEAVORS, INC.: diluted weighted-average shares
• ADM ENDEAVORS, INC.: diluted earnings per share
• ADM ENDEAVORS, INC.: income tax expense or benefit
• ADM ENDEAVORS, INC.: net property, plant and equipment
• ADM ENDEAVORS, INC.: share-based compensation expense
• ADM ENDEAVORS, INC.: operating income or loss
• ADM ENDEAVORS, INC.: current assets
• ADM ENDEAVORS, INC.: interest expense
• ADM ENDEAVORS, INC.: current liabilities
• ADM ENDEAVORS, INC.: current accounts payable
• ADM ENDEAVORS, INC.: net current accounts receivable
• ADM ENDEAVORS, INC.: operating expenses
• ADM ENDEAVORS, INC.: net inventory
• ADM ENDEAVORS, INC.: gross profit
• ADM ENDEAVORS, INC.: cost of revenue

Inspect the source

Entity

ADM ENDEAVORS, INC. / CIK 0001588014

Captured

2026-09-20T09:23:36.436Z

SEC response SHA-256

60ed130183f35cdef15fe9554c24e4a627775726f9887c3438030ff4b2147b62

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/0001588014.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"])))