Z Squared 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 2019-12-31 to 2021-12-31. The SEC response was captured on 2026-09-21.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Related financial histories

• Z Squared Inc.: total assets
• Z Squared Inc.: total liabilities
• Z Squared Inc.: stockholders equity
• Z Squared Inc.: net income or loss
• Z Squared Inc.: operating cash flow
• Z Squared Inc.: revenue
• Z Squared Inc.: financing cash flow
• Z Squared Inc.: investing cash flow
• Z Squared Inc.: retained earnings or deficit
• Z Squared Inc.: basic weighted-average shares
• Z Squared Inc.: diluted weighted-average shares
• Z Squared Inc.: basic earnings per share
• Z Squared Inc.: diluted earnings per share
• Z Squared Inc.: net property, plant and equipment
• Z Squared Inc.: share-based compensation expense
• Z Squared Inc.: operating income or loss
• Z Squared Inc.: current assets
• Z Squared Inc.: interest expense
• Z Squared Inc.: current liabilities
• Z Squared Inc.: current accounts payable
• Z Squared Inc.: net current accounts receivable
• Z Squared Inc.: operating expenses
• Z Squared Inc.: gross profit
• Z Squared Inc.: cost of revenue
• Z Squared Inc.: research and development expense

Inspect the source

Entity

Z Squared Inc. / CIK 0001759186

Captured

2026-09-21T17:29:37.473Z

SEC response SHA-256

8d800c26b1045cce83af1ec65fcd33156dc1bb772f2f17d727b2d50d10ef91fb

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/0001759186.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"])))