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Astera Labs, Inc.: filings

Every Astera Labs, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 10 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2026-08-05fiscal Q2 2026471300001736297-26-000035
10-Q2026-05-06fiscal Q1 202647980001736297-26-000020
10-K2026-02-20fiscal FY 2025501300001736297-26-000010
10-Q2025-11-05fiscal Q3 2025461280001736297-25-000147
10-Q2025-08-06fiscal Q2 2025461280001736297-25-000098
10-Q2025-05-07fiscal Q1 202545940001736297-25-000031
10-K2025-02-14fiscal FY 2024521360001736297-25-000003
10-Q2024-11-05fiscal Q3 2024441240001736297-24-000043
10-Q2024-08-07fiscal Q2 2024451250001736297-24-000018
10-Q2024-05-08fiscal Q1 202444920001736297-24-000006

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

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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.

Read the published dataset with Python
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"])))