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BULLFROG AI HOLDINGS, INC.: filings

Every BULLFROG AI HOLDINGS, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 15 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-Q2026-08-14fiscal Q2 2026371130001628280-26-057121
10-Q2026-05-14fiscal Q1 202632680001493152-26-023068
10-K2026-03-19fiscal FY 202539750001493152-26-011644
10-Q2025-11-14fiscal Q3 2025391110001493152-25-023496
10-Q2025-08-13fiscal Q2 2025361030001641172-25-023560
10-Q2025-05-13fiscal Q1 202531660001641172-25-009946
10-K2025-03-14fiscal FY 202437720001493152-25-010367
10-Q2024-11-08fiscal Q3 2024351060001493152-24-044329
10-Q2024-08-07fiscal Q2 202431940001493152-24-030553
10-Q2024-05-10fiscal Q1 202431660001493152-24-018633
10-K2024-03-29fiscal FY 202339760001493152-24-011964
10-Q2023-11-14fiscal Q3 2023371070001493152-23-041125
10-Q2023-08-14fiscal Q2 202333950001493152-23-028428
10-Q2023-05-24fiscal Q1 202330610001493152-23-018911
10-K2023-04-25fiscal FY 202235620001493152-23-013524

Inspect the source

Entity
BULLFROG AI HOLDINGS, INC. / CIK 0001829247
Captured
2026-09-21T17:30:08.367Z
SEC response SHA-256
730908c815618ccb2ed231ba56e5dfefddd5109b694f844679ebbb90a0a15be1

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/0001829247.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"])))