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DANIMER SCIENTIFIC, INC.: filings

Every DANIMER SCIENTIFIC, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 19 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-Q2024-11-19fiscal Q3 2024491330000950170-24-128298
10-Q2024-08-08fiscal Q2 2024491330000950170-24-094153
10-Q2024-05-07fiscal Q1 2024491030000950170-24-054709
10-K2024-03-29fiscal FY 2023521040000950170-24-038717
10-Q2023-11-14fiscal Q3 2023491330000950170-23-063782
10-Q2023-08-08fiscal Q2 2023501360000950170-23-039907
10-Q2023-05-10fiscal Q1 2023511080000950170-23-020673
10-K2023-03-28fiscal FY 2022531100000950170-23-010363
10-Q2022-11-08fiscal Q3 2022481300000950170-22-023316
10-Q2022-08-09fiscal Q2 2022501300000950170-22-016155
10-Q2022-05-10fiscal Q1 2022491020000950170-22-009060
10-K2022-03-08fiscal FY 2021541400000950170-22-003031
10-Q2021-11-15fiscal Q3 2021521450000950170-21-004639
10-Q2021-08-16fiscal Q2 2021491340000950170-21-001504
10-Q2021-05-18fiscal Q1 202144930000950170-21-000276
10-K/A2021-05-14fiscal FY 202052980001213900-21-026449
10-K2021-03-30fiscal FY 202052990001213900-21-018433
10-Q2020-11-05fiscal Q3 202018420001213900-20-035279
10-Q2020-07-31fiscal Q2 202018390001213900-20-019509

Inspect the source

Entity
DANIMER SCIENTIFIC, INC. / CIK 0001779020
Captured
2026-09-21T17:30:43.513Z
SEC response SHA-256
30bea8ac2db08e04434e2774f483df1b868c728122db0e2c6d9038decfc53464

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/0001779020.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"])))