Resonate Blends, Inc.: 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 2013-12-31 to 2024-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Resonate Blends, Inc.: total assets
• Resonate Blends, Inc.: total liabilities
• Resonate Blends, Inc.: stockholders equity
• Resonate Blends, Inc.: cash and cash equivalents
• Resonate Blends, Inc.: net income or loss
• Resonate Blends, Inc.: operating cash flow
• Resonate Blends, Inc.: capital expenditure payments
• Resonate Blends, Inc.: revenue
• Resonate Blends, Inc.: contract revenue excluding tax
• Resonate Blends, Inc.: financing cash flow
• Resonate Blends, Inc.: investing cash flow
• Resonate Blends, Inc.: retained earnings or deficit
• Resonate Blends, Inc.: basic weighted-average shares
• Resonate Blends, Inc.: basic earnings per share
• Resonate Blends, Inc.: diluted earnings per share
• Resonate Blends, Inc.: net property, plant and equipment
• Resonate Blends, Inc.: share-based compensation expense
• Resonate Blends, Inc.: operating income or loss
• Resonate Blends, Inc.: current assets
• Resonate Blends, Inc.: current liabilities
• Resonate Blends, Inc.: operating expenses
• Resonate Blends, Inc.: gross profit
• Resonate Blends, Inc.: cost of revenue
• Resonate Blends, Inc.: selling, general and administrative expense

Inspect the source

Entity

Resonate Blends, Inc. / CIK 0000897078

Captured

2026-09-20T05:04:40.967Z

SEC response SHA-256

47e92286a3e1c228c6613ac4d64e417b8a63ff7b952844d6f85fb49ac34e6210

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/0000897078.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"])))