KURA ONCOLOGY, 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 2007-11-14 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• KURA ONCOLOGY, INC.: total assets
• KURA ONCOLOGY, INC.: total liabilities
• KURA ONCOLOGY, INC.: stockholders equity
• KURA ONCOLOGY, INC.: net income or loss
• KURA ONCOLOGY, INC.: operating cash flow
• KURA ONCOLOGY, INC.: capital expenditure payments
• KURA ONCOLOGY, INC.: contract revenue excluding tax
• KURA ONCOLOGY, INC.: financing cash flow
• KURA ONCOLOGY, INC.: investing cash flow
• KURA ONCOLOGY, INC.: retained earnings or deficit
• KURA ONCOLOGY, INC.: basic weighted-average shares
• KURA ONCOLOGY, INC.: diluted weighted-average shares
• KURA ONCOLOGY, INC.: basic earnings per share
• KURA ONCOLOGY, INC.: diluted earnings per share
• KURA ONCOLOGY, INC.: income tax expense or benefit
• KURA ONCOLOGY, INC.: net property, plant and equipment
• KURA ONCOLOGY, INC.: share-based compensation expense
• KURA ONCOLOGY, INC.: operating income or loss
• KURA ONCOLOGY, INC.: current assets
• KURA ONCOLOGY, INC.: interest expense
• KURA ONCOLOGY, INC.: current liabilities
• KURA ONCOLOGY, INC.: current accounts payable
• KURA ONCOLOGY, INC.: operating expenses
• KURA ONCOLOGY, INC.: selling, general and administrative expense
• KURA ONCOLOGY, INC.: research and development expense

Inspect the source

Entity

KURA ONCOLOGY, INC. / CIK 0001422143

Captured

2026-09-20T08:03:22.155Z

SEC response SHA-256

99c25996d2b94a162f8d422ab44911c7e1eca886397d9f5849b0bd5c004a4e4f

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/0001422143.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"])))