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EQUATOR Beverage Company: financial reference

Explore EQUATOR Beverage Company financial histories from SEC filings, with original units, reporting periods, filing dates and downloadable source data.

Reported financial histories

Choose a measure to inspect its definition, complete selected history and filing provenance. Each row shows the latest period available for that selected concept and original unit. Separate currencies and reporting intervals remain separate rows. Coverage dates can differ between concepts. A recent capture does not imply recent accounting coverage; these amounts are not prices.

Latest periods by selected concept and original unit
MeasurePeriod startPeriod endValueUnitFiled
Total assetsAt date2025-12-311,191,046USD2026-03-23
Stockholders equityAt date2025-12-31555,973USD2026-03-23
Cash and cash equivalentsAt date2022-12-3110,738USD2023-03-31
Net income or loss2025-01-012025-12-3149,213USD2026-03-23
Operating cash flow2025-01-012025-12-31211,658USD2026-03-23
Capital expenditure payments2016-01-012016-12-311,527USD2018-02-21
Revenue2025-01-012025-12-314,191,049USD2026-03-23
Contract revenue excluding tax2022-01-012022-12-311,821,492USD2023-03-31
Financing cash flow2025-01-012025-12-31-15,000USD2026-03-23
Investing cash flow2016-01-012016-12-31-1,527USD2018-02-21
Retained earnings or deficitAt date2025-12-31-24,561,170USD2026-03-23
Diluted weighted-average shares2025-01-012025-12-319,104,757shares2026-03-23
Diluted earnings per share2025-01-012025-12-310.01USD/shares2026-03-23
Income tax expense or benefit2025-01-012025-12-31141,800USD2026-03-23
Net property, plant and equipmentAt date2015-12-311,811USD2017-03-24
Share-based compensation expense2023-01-012023-12-310USD2024-03-22
Operating income or loss2025-01-012025-12-3183,726USD2026-03-23
Current assetsAt date2025-12-311,191,046USD2026-03-23
Interest expense2025-01-012025-12-3130,178USD2026-03-23
Current liabilitiesAt date2025-12-31635,073USD2026-03-23
Net current accounts receivableAt date2025-12-31349,822USD2026-03-23
Operating expenses2025-01-012025-12-311,786,803USD2026-03-23
Net inventoryAt date2025-12-31508,301USD2026-03-23
Gross profit2025-01-012025-12-311,870,529USD2026-03-23
Cost of revenue2025-01-012025-12-312,320,520USD2026-03-23
Selling, general and administrative expense2025-01-012025-12-311,786,803USD2026-03-23

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.

Read the published dataset with Python
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"])))