AMERICAN CLEAN RESOURCES GROUP, INC.: 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 2011-01-01 to 2016-12-31. The SEC response was captured on 2026-09-19.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Reading these values

The selected USD history reports 0 at all 6 reporting ends. These are reported zeros, not values substituted for missing data. This describes this concept and the selected periods only; it does not establish that other measures or later periods are unchanged.

Selected filing history

Related financial histories

• AMERICAN CLEAN RESOURCES GROUP, INC.: total assets
• AMERICAN CLEAN RESOURCES GROUP, INC.: total liabilities
• AMERICAN CLEAN RESOURCES GROUP, INC.: stockholders equity
• AMERICAN CLEAN RESOURCES GROUP, INC.: cash and cash equivalents
• AMERICAN CLEAN RESOURCES GROUP, INC.: net income or loss
• AMERICAN CLEAN RESOURCES GROUP, INC.: operating cash flow
• AMERICAN CLEAN RESOURCES GROUP, INC.: capital expenditure payments
• AMERICAN CLEAN RESOURCES GROUP, INC.: financing cash flow
• AMERICAN CLEAN RESOURCES GROUP, INC.: investing cash flow
• AMERICAN CLEAN RESOURCES GROUP, INC.: retained earnings or deficit
• AMERICAN CLEAN RESOURCES GROUP, INC.: basic weighted-average shares
• AMERICAN CLEAN RESOURCES GROUP, INC.: diluted weighted-average shares
• AMERICAN CLEAN RESOURCES GROUP, INC.: basic earnings per share
• AMERICAN CLEAN RESOURCES GROUP, INC.: diluted earnings per share
• AMERICAN CLEAN RESOURCES GROUP, INC.: net property, plant and equipment
• AMERICAN CLEAN RESOURCES GROUP, INC.: share-based compensation expense
• AMERICAN CLEAN RESOURCES GROUP, INC.: operating income or loss
• AMERICAN CLEAN RESOURCES GROUP, INC.: current assets
• AMERICAN CLEAN RESOURCES GROUP, INC.: interest expense
• AMERICAN CLEAN RESOURCES GROUP, INC.: current liabilities
• AMERICAN CLEAN RESOURCES GROUP, INC.: current accounts payable
• AMERICAN CLEAN RESOURCES GROUP, INC.: operating expenses

Inspect the source

Entity

AMERICAN CLEAN RESOURCES GROUP, INC. / CIK 0000773717

Captured

2026-09-19T11:14:29.106Z

SEC response SHA-256

e64d201c9854ef0bd331f6e6e2194526b310845a7e65d8790a98c75e45e96196

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/0000773717.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"])))