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Dianthus Therapeutics, Inc. /DE/: filings

Every Dianthus Therapeutics, Inc. /DE/ annual and quarterly report in the SEC record with the published financial measures it tagged, 33 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-Q2026-08-04fiscal Q2 2026401160001690585-26-000034
10-Q2026-05-05fiscal Q1 202640840001690585-26-000022
10-K2026-03-09fiscal FY 202546930001690585-26-000006
10-Q2025-11-05fiscal Q3 2025421290001193125-25-266920
10-Q2025-08-07fiscal Q2 2025421240000950170-25-105030
10-Q2025-05-12fiscal Q1 202542880000950170-25-069226
10-K2025-03-11fiscal FY 202445910000950170-25-037131
10-Q2024-11-07fiscal Q3 2024371120000950170-24-123285
10-Q2024-08-08fiscal Q2 2024371080000950170-24-093948
10-Q2024-05-09fiscal Q1 202439820000950170-24-057022
10-K2024-03-21fiscal FY 202341830000950170-24-034681
10-Q2023-11-09fiscal Q3 2023401210000950170-23-062070
10-Q2023-08-03fiscal Q2 202333950000950170-23-037605
10-Q2023-05-15fiscal Q1 202333710000950170-23-022192
10-K2023-03-23fiscal FY 202240800000950170-23-009331
10-Q2022-11-03fiscal Q3 202236980000950170-22-021603
10-Q2022-08-04fiscal Q2 202235960001193125-22-211881
10-Q2022-05-16fiscal Q1 202235720001193125-22-151014
10-K2022-03-08fiscal FY 202137760001193125-22-068759
10-Q2021-11-04fiscal Q3 202129760001193125-21-319502
10-Q2021-08-05fiscal Q2 202129760001193125-21-237060
10-Q2021-05-06fiscal Q1 202128610001193125-21-152654
10-K2021-03-03fiscal FY 202033690001193125-21-066707
10-Q2020-11-05fiscal Q3 202030820001193125-20-286283
10-Q2020-08-06fiscal Q2 202030820001193125-20-211380
10-Q2020-05-07fiscal Q1 202030640001193125-20-135615
10-K2020-03-03fiscal FY 2019351240001193125-20-059835
10-Q2019-11-13fiscal Q3 201931860001193125-19-290577
10-Q2019-08-08fiscal Q2 201931860001193125-19-216106
10-Q2019-05-09fiscal Q1 201930650001193125-19-142296
10-K2019-03-19fiscal FY 2018371250001193125-19-078948
10-Q2018-11-08fiscal Q3 201831810001193125-18-321954
10-Q2018-08-09fiscal Q2 201830800001193125-18-244360

Inspect the source

Entity
Dianthus Therapeutics, Inc. /DE/ / CIK 0001690585
Captured
2026-09-21T17:23:28.574Z
SEC response SHA-256
3a6d46fa89193d01fc1f2c35abff2adeb4206faa8557b82f56346ab3582bf282

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/0001690585.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"])))