EQUATOR Beverage Company: retained earnings or deficit

What this measure means

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• EQUATOR Beverage Company: total assets
• EQUATOR Beverage Company: stockholders equity
• EQUATOR Beverage Company: cash and cash equivalents
• EQUATOR Beverage Company: net income or loss
• EQUATOR Beverage Company: operating cash flow
• EQUATOR Beverage Company: capital expenditure payments
• EQUATOR Beverage Company: revenue
• EQUATOR Beverage Company: contract revenue excluding tax
• EQUATOR Beverage Company: financing cash flow
• EQUATOR Beverage Company: investing cash flow
• EQUATOR Beverage Company: diluted weighted-average shares
• EQUATOR Beverage Company: diluted earnings per share
• EQUATOR Beverage Company: income tax expense or benefit
• EQUATOR Beverage Company: net property, plant and equipment
• EQUATOR Beverage Company: share-based compensation expense
• EQUATOR Beverage Company: operating income or loss
• EQUATOR Beverage Company: current assets
• EQUATOR Beverage Company: interest expense
• EQUATOR Beverage Company: current liabilities
• EQUATOR Beverage Company: net current accounts receivable
• EQUATOR Beverage Company: operating expenses
• EQUATOR Beverage Company: net inventory
• EQUATOR Beverage Company: gross profit
• EQUATOR Beverage Company: cost of revenue
• EQUATOR Beverage Company: selling, general and administrative expense

Inspect the source

Entity

EQUATOR Beverage Company / CIK 0001414953

Captured

2026-09-20T08:02:20.539Z

SEC response SHA-256

07be2099ca2fa2f6ac18722f4d57d0b0d4e593457420b51b396f95a336c0a5dc

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/0001414953.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"])))