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AMNEAL PHARMACEUTICALS, INC.: filings

Every AMNEAL PHARMACEUTICALS, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 35 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-Q2026-08-06fiscal Q2 2026451340001723128-26-000031
10-Q2026-05-07fiscal Q1 202645960001723128-26-000020
10-K2026-02-27fiscal FY 2025541440001723128-26-000011
10-Q2025-11-06fiscal Q3 2025461360001723128-25-000062
10-Q2025-08-07fiscal Q2 2025461360001723128-25-000047
10-Q2025-05-07fiscal Q1 202546980001723128-25-000022
10-K2025-02-28fiscal FY 2024531410001723128-25-000012
10-Q2024-11-12fiscal Q3 2024461360001723128-24-000042
10-Q2024-08-09fiscal Q2 2024461360001723128-24-000032
10-Q2024-05-08fiscal Q1 202446980001723128-24-000021
10-K2024-03-14fiscal FY 2023541440001723128-24-000014
10-Q2023-11-09fiscal Q3 2023461360001723128-23-000044
10-Q2023-08-08fiscal Q2 2023461360001723128-23-000031
10-Q2023-05-09fiscal Q1 2023481020001723128-23-000020
10-K2023-03-03fiscal FY 2022571500001723128-23-000009
10-Q2022-11-07fiscal Q3 2022471380001723128-22-000039
10-Q2022-08-08fiscal Q2 2022471380001723128-22-000034
10-Q2022-05-06fiscal Q1 202246980001723128-22-000016
10-K2022-03-01fiscal FY 2021571500001723128-22-000006
10-Q2021-11-08fiscal Q3 2021461360001723128-21-000039
10-Q2021-08-09fiscal Q2 2021461360001723128-21-000032
10-Q2021-05-07fiscal Q1 202146980001723128-21-000023
10-K2021-03-01fiscal FY 2020571490001723128-21-000013
10-Q2020-11-06fiscal Q3 2020481400001723128-20-000026
10-Q2020-08-06fiscal Q2 2020481400001723128-20-000013
10-Q2020-05-11fiscal Q1 2020481020001564590-20-024256
10-K2020-03-02fiscal FY 2019561850001564590-20-008179
10-Q2019-11-07fiscal Q3 2019511460001564590-19-041240
10-Q2019-08-05fiscal Q2 2019471300001723128-19-000111
10-Q2019-05-09fiscal Q1 201947960001723128-19-000079
10-K2019-03-01fiscal FY 2018531780001723128-19-000028
10-Q2018-11-07fiscal Q3 2018521390001723128-18-000037
10-Q2018-08-09fiscal Q2 2018491320001723128-18-000030
10-Q2018-05-15fiscal Q1 201814210001723128-18-000013
10-K2018-03-09fiscal FY 201714170001723128-18-000005

Inspect the source

Entity
AMNEAL PHARMACEUTICALS, INC. / CIK 0001723128
Captured
2026-09-21T17:27:25.086Z
SEC response SHA-256
075c5a61ea16a3687086a44ded16226e03e05d8e3235bb2d57788b8b10d1e3fe

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/0001723128.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"])))