AppTech Payments Corp.: 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 2018-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• AppTech Payments Corp.: total assets
• AppTech Payments Corp.: total liabilities
• AppTech Payments Corp.: stockholders equity
• AppTech Payments Corp.: cash and cash equivalents
• AppTech Payments Corp.: net income or loss
• AppTech Payments Corp.: operating cash flow
• AppTech Payments Corp.: financing cash flow
• AppTech Payments Corp.: investing cash flow
• AppTech Payments Corp.: retained earnings or deficit
• AppTech Payments Corp.: basic weighted-average shares
• AppTech Payments Corp.: diluted weighted-average shares
• AppTech Payments Corp.: basic earnings per share
• AppTech Payments Corp.: diluted earnings per share
• AppTech Payments Corp.: share-based compensation expense
• AppTech Payments Corp.: operating income or loss
• AppTech Payments Corp.: current assets
• AppTech Payments Corp.: interest expense
• AppTech Payments Corp.: current liabilities
• AppTech Payments Corp.: current accounts payable
• AppTech Payments Corp.: goodwill carrying amount
• AppTech Payments Corp.: net finite-lived intangible assets
• AppTech Payments Corp.: net current accounts receivable
• AppTech Payments Corp.: operating expenses
• AppTech Payments Corp.: gross profit
• AppTech Payments Corp.: cost of revenue
• AppTech Payments Corp.: selling, general and administrative expense
• AppTech Payments Corp.: research and development expense

Inspect the source

Entity

AppTech Payments Corp. / CIK 0001070050

Captured

2026-09-20T05:19:28.768Z

SEC response SHA-256

70614b3383ecad9bb3fbe8640ced15449dd03f294cae86178bf9682e01d53953

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/0001070050.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"])))