BLUE STAR FOODS CORP.: net current accounts receivable

What this measure means

Current customer receivables after the allowance for credit loss. The balance is not cash collected or a guarantee of collection.

Exact concept: us-gaap:AccountsReceivableNetCurrent. 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 2017-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• BLUE STAR FOODS CORP.: total assets
• BLUE STAR FOODS CORP.: total liabilities
• BLUE STAR FOODS CORP.: stockholders equity
• BLUE STAR FOODS CORP.: cash and cash equivalents
• BLUE STAR FOODS CORP.: net income or loss
• BLUE STAR FOODS CORP.: operating cash flow
• BLUE STAR FOODS CORP.: capital expenditure payments
• BLUE STAR FOODS CORP.: contract revenue excluding tax
• BLUE STAR FOODS CORP.: financing cash flow
• BLUE STAR FOODS CORP.: investing cash flow
• BLUE STAR FOODS CORP.: retained earnings or deficit
• BLUE STAR FOODS CORP.: basic weighted-average shares
• BLUE STAR FOODS CORP.: diluted weighted-average shares
• BLUE STAR FOODS CORP.: basic earnings per share
• BLUE STAR FOODS CORP.: diluted earnings per share
• BLUE STAR FOODS CORP.: income tax expense or benefit
• BLUE STAR FOODS CORP.: net property, plant and equipment
• BLUE STAR FOODS CORP.: share-based compensation expense
• BLUE STAR FOODS CORP.: operating income or loss
• BLUE STAR FOODS CORP.: current assets
• BLUE STAR FOODS CORP.: interest expense
• BLUE STAR FOODS CORP.: current liabilities
• BLUE STAR FOODS CORP.: current accounts payable
• BLUE STAR FOODS CORP.: net finite-lived intangible assets
• BLUE STAR FOODS CORP.: net inventory
• BLUE STAR FOODS CORP.: gross profit
• BLUE STAR FOODS CORP.: cost of revenue

Inspect the source

Entity

BLUE STAR FOODS CORP. / CIK 0001730773

Captured

2026-09-21T17:27:52.061Z

SEC response SHA-256

4ad05887f8692666e4a4ea37374c1c2f225665ac63a6b91f25717e3c0193f24c

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/0001730773.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"])))