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Albertsons Companies, Inc.: filings

Every Albertsons Companies, 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-Q2026-07-28fiscal Q1 202638800001646972-26-000046
10-K2026-04-27fiscal FY 2025481270001646972-26-000032
10-Q2026-01-07fiscal Q3 2025381160001646972-26-000010
10-Q2025-10-14fiscal Q2 2025381120001646972-25-000083
10-Q2025-07-22fiscal Q1 202538800001646972-25-000063
10-K2025-04-21fiscal FY 2024481270001646972-25-000052
10-Q2025-01-08fiscal Q3 2024381180001646972-25-000008
10-Q2024-10-15fiscal Q2 2024381140001646972-24-000225
10-Q2024-07-23fiscal Q1 202437780001646972-24-000165
10-K2024-04-22fiscal FY 2023461210001646972-24-000060
10-Q2024-01-09fiscal Q3 2023381180001646972-24-000009
10-Q2023-10-17fiscal Q2 2023381140001646972-23-000072
10-Q2023-07-25fiscal Q1 202338800001646972-23-000056
10-K2023-04-25fiscal FY 2022471240001646972-23-000045
10-Q2023-01-10fiscal Q3 2022391200001646972-23-000011
10-Q2022-10-19fiscal Q2 2022391160001646972-22-000073
10-Q2022-07-27fiscal Q1 202239820001646972-22-000055
10-K2022-04-26fiscal FY 2022471250001646972-22-000031
10-Q2022-01-12fiscal Q3 2021401220001646972-22-000009
10-Q2021-10-20fiscal Q2 2021401180001646972-21-000061
10-Q2021-07-29fiscal Q1 202140840001646972-21-000038
10-K2021-04-28fiscal FY 2021491860001646972-21-000026
10-Q2021-01-13fiscal Q3 2020401220001646972-21-000010
10-Q2020-10-21fiscal Q2 2020401180001646972-20-000054
10-K/A2020-08-07fiscal FY 2019531840001646972-20-000038
10-Q2020-08-04fiscal Q1 202041850001646972-20-000033
10-K2020-05-13fiscal FY 2019531840001646972-20-000022
10-Q2020-01-08fiscal Q3 2019391070001646972-20-000006
10-Q2019-10-16fiscal Q2 2019391010001646972-19-000077
10-Q2019-07-24fiscal Q1 201939770001646972-19-000054
10-K2019-04-24fiscal FY 2018461680001646972-19-000036
10-Q2019-01-15fiscal Q3 201836960001646972-19-000014
10-Q2018-10-18fiscal Q2 201835930001646972-18-000056
10-Q2018-07-25fiscal Q1 201835730001646972-18-000037
10-K2018-05-11fiscal FY 2017431480001646972-18-000017

Inspect the source

Entity
Albertsons Companies, Inc. / CIK 0001646972
Captured
2026-09-21T17:21:48.199Z
SEC response SHA-256
65ed1c3261a848b2b8d4ca5540792b86806eb770aad663a020f24c4d385be90c

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/0001646972.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"])))