VivoSim Labs, 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 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• VivoSim Labs, Inc.: total assets
• VivoSim Labs, Inc.: total liabilities
• VivoSim Labs, Inc.: stockholders equity
• VivoSim Labs, Inc.: net income or loss
• VivoSim Labs, Inc.: operating cash flow
• VivoSim Labs, Inc.: capital expenditure payments
• VivoSim Labs, Inc.: revenue
• VivoSim Labs, Inc.: contract revenue excluding tax
• VivoSim Labs, Inc.: financing cash flow
• VivoSim Labs, Inc.: investing cash flow
• VivoSim Labs, Inc.: retained earnings or deficit
• VivoSim Labs, Inc.: basic weighted-average shares
• VivoSim Labs, Inc.: diluted weighted-average shares
• VivoSim Labs, Inc.: basic earnings per share
• VivoSim Labs, Inc.: diluted earnings per share
• VivoSim Labs, Inc.: income tax expense or benefit
• VivoSim Labs, Inc.: net property, plant and equipment
• VivoSim Labs, Inc.: share-based compensation expense
• VivoSim Labs, Inc.: operating income or loss
• VivoSim Labs, Inc.: current assets
• VivoSim Labs, Inc.: interest expense
• VivoSim Labs, Inc.: current liabilities
• VivoSim Labs, Inc.: current accounts payable
• VivoSim Labs, Inc.: net current accounts receivable
• VivoSim Labs, Inc.: common-stock repurchase payments
• VivoSim Labs, Inc.: net inventory
• VivoSim Labs, Inc.: cost of revenue
• VivoSim Labs, Inc.: selling, general and administrative expense
• VivoSim Labs, Inc.: research and development expense

Inspect the source

Entity

VivoSim Labs, Inc. / CIK 0001497253

Captured

2026-09-20T09:11:03.612Z

SEC response SHA-256

c9ff312a652cbde719fdab7c214ee08503323ac8b24c6a7d9a70ff61471feb23

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/0001497253.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"])))