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Diameter Credit Company: filings

Every Diameter Credit Company 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-Q2026-08-10fiscal Q2 202621680001193125-26-342470
10-Q2026-05-11fiscal Q1 202621440001193125-26-216630
10-K2026-03-12fiscal FY 202522530001193125-26-104439
10-Q2025-11-13fiscal Q3 202520640001193125-25-279909
10-Q2025-08-13fiscal Q2 202520640000950170-25-107866
10-Q2025-05-09fiscal Q1 202520420000950170-25-067944
10-K2025-03-12fiscal FY 202419350000950170-25-038029
10-Q2024-11-07fiscal Q3 202419340000950170-24-123107
10-Q2024-08-08fiscal Q2 202419350000950170-24-093799
10-Q2024-05-13fiscal Q1 202419250000950170-24-058570

Inspect the source

Entity
Diameter Credit Company / CIK 0001916099
Captured
2026-09-21T17:23:57.772Z
SEC response SHA-256
40bc264800b8b58cac0857c87c9ae6705341f276a04d8e9160eb80358b9a9415

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/0001916099.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"])))