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Tempus AI, Inc.: filings

Every Tempus AI, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 9 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-Q2026-07-30fiscal Q2 2026481270001193125-26-326090
10-Q2026-05-05fiscal Q1 202648990001193125-26-206356
10-K2026-02-24fiscal FY 2025511330001193125-26-066961
10-Q2025-11-04fiscal Q3 2025491310001193125-25-264652
10-Q2025-08-08fiscal Q2 2025491310000950170-25-105449
10-Q2025-05-06fiscal Q1 2025491010000950170-25-064447
10-K2025-02-24fiscal FY 2024501290000950170-25-025603
10-Q2024-11-04fiscal Q3 2024451230000950170-24-120677
10-Q2024-08-06fiscal Q2 2024451230001193125-24-194869

Inspect the source

Entity
Tempus AI, Inc. / CIK 0001717115
Captured
2026-09-21T17:24:40.778Z
SEC response SHA-256
ff4c427aa528a3a5d2e60b2f8d5f49fa45ba6c291f8c47c0789a98289048887b

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/0001717115.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"])))