HIGH SIERRA TECHNOLOGIES, 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 1996-05-08 to 2021-12-31. The SEC response was captured on 2026-09-20.

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

• HIGH SIERRA TECHNOLOGIES, INC.: total assets
• HIGH SIERRA TECHNOLOGIES, INC.: total liabilities
• HIGH SIERRA TECHNOLOGIES, INC.: stockholders equity
• HIGH SIERRA TECHNOLOGIES, INC.: net income or loss
• HIGH SIERRA TECHNOLOGIES, INC.: operating cash flow
• HIGH SIERRA TECHNOLOGIES, INC.: capital expenditure payments
• HIGH SIERRA TECHNOLOGIES, INC.: revenue
• HIGH SIERRA TECHNOLOGIES, INC.: financing cash flow
• HIGH SIERRA TECHNOLOGIES, INC.: investing cash flow
• HIGH SIERRA TECHNOLOGIES, INC.: retained earnings or deficit
• HIGH SIERRA TECHNOLOGIES, INC.: basic weighted-average shares
• HIGH SIERRA TECHNOLOGIES, INC.: net property, plant and equipment
• HIGH SIERRA TECHNOLOGIES, INC.: operating income or loss
• HIGH SIERRA TECHNOLOGIES, INC.: current assets
• HIGH SIERRA TECHNOLOGIES, INC.: interest expense
• HIGH SIERRA TECHNOLOGIES, INC.: current liabilities
• HIGH SIERRA TECHNOLOGIES, INC.: current accounts payable
• HIGH SIERRA TECHNOLOGIES, INC.: operating expenses

Inspect the source

Entity

HIGH SIERRA TECHNOLOGIES, INC. / CIK 0001365388

Captured

2026-09-20T07:56:33.024Z

SEC response SHA-256

cfc7e16e3065398f8b13963f1f5f17884edc7e4ec95812cf1092d52aac40e273

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/0001365388.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"])))