Astera Labs, Inc.: current accounts payable

What this measure means

Current amounts owed to suppliers for goods and services received. This is one component of current liabilities, not all accrued obligations.

Exact concept: us-gaap:AccountsPayableCurrent. 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 2023-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Astera Labs, Inc. / CIK 0001736297

Captured

2026-09-21T17:28:10.072Z

SEC response SHA-256

2efb6a6e035970ca24ce4f04e2fcadd1f30fee9646b46e5d97c6ed652376663b

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/0001736297.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"])))