SOW GOOD INC.: cash and cash equivalents

What this measure means

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. 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

• SOW GOOD INC.: total assets
• SOW GOOD INC.: total liabilities
• SOW GOOD INC.: stockholders equity
• SOW GOOD INC.: net income or loss
• SOW GOOD INC.: operating cash flow
• SOW GOOD INC.: capital expenditure payments
• SOW GOOD INC.: revenue
• SOW GOOD INC.: financing cash flow
• SOW GOOD INC.: investing cash flow
• SOW GOOD INC.: retained earnings or deficit
• SOW GOOD INC.: basic weighted-average shares
• SOW GOOD INC.: diluted weighted-average shares
• SOW GOOD INC.: basic earnings per share
• SOW GOOD INC.: diluted earnings per share
• SOW GOOD INC.: income tax expense or benefit
• SOW GOOD INC.: net property, plant and equipment
• SOW GOOD INC.: share-based compensation expense
• SOW GOOD INC.: operating income or loss
• SOW GOOD INC.: current assets
• SOW GOOD INC.: interest expense
• SOW GOOD INC.: current liabilities
• SOW GOOD INC.: current accounts payable
• SOW GOOD INC.: goodwill carrying amount
• SOW GOOD INC.: net finite-lived intangible assets
• SOW GOOD INC.: net current accounts receivable
• SOW GOOD INC.: operating expenses
• SOW GOOD INC.: net inventory
• SOW GOOD INC.: gross profit
• SOW GOOD INC.: selling, general and administrative expense

Inspect the source

Entity

SOW GOOD INC. / CIK 0001490161

Captured

2026-09-20T09:09:59.852Z

SEC response SHA-256

45447feca433fff8e844331ddb8e08d1feae5066b2d7e954bbfe4c8385907f4b

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/0001490161.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"])))