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FREDS INC: filings

Every FREDS INC annual and quarterly report in the SEC record with the published financial measures it tagged, 32 filings, each linked to its SEC index.

Filing record ends 2019-06-18

The latest filing in this captured record is a 10-Q filed 2019-06-18. No later filing is in the SEC companyfacts record captured on 2026-09-22. FREDS INC may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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-Q2019-06-18fiscal Q1 202043890001564590-19-022800
10-K2019-05-03fiscal FY 201842870001564590-19-015740
10-Q/A2018-12-14fiscal Q3 2019361010001615774-18-014445
10-Q2018-09-18fiscal Q2 2018361000001615774-18-009683
10-Q2018-06-14fiscal Q1 201936750001615774-18-005277
10-K2018-05-04fiscal FY 2017421240001615774-18-003313
10-Q2017-12-07fiscal Q3 2017361000001615774-17-007202
10-Q2017-09-07fiscal Q2 201733950001615774-17-004968
10-Q2017-06-08fiscal Q1 201732700001615774-17-003053
10-K2017-04-13fiscal FY 2016381270001615774-17-001671
10-Q2016-12-08fiscal Q3 201632920001615774-16-008795
10-Q2016-09-08fiscal Q2 201632920001615774-16-007100
10-Q2016-06-09fiscal Q1 201632660001615774-16-005829
10-K2016-04-14fiscal FY 2015401320001615774-16-004959
10-Q2015-12-10fiscal Q3 201533940001615774-15-003616
10-Q2015-09-10fiscal Q2 201533940001615774-15-002509
10-Q2015-06-11fiscal Q1 201534720001144204-15-036750
10-K2015-04-16fiscal FY 2014391350001144204-15-023306
10-Q2014-12-11fiscal Q3 2014361020001144204-14-073451
10-Q2014-09-11fiscal Q2 2014371040001144204-14-055467
10-Q2014-06-12fiscal Q1 201438800001144204-14-037285
10-K2014-04-17fiscal FY 2013421450001144204-14-023400
10-Q2013-12-12fiscal Q3 2013371040001144204-13-066935
10-Q2013-09-12fiscal Q2 2013371040001144204-13-050503
10-Q2013-06-13fiscal Q1 201337790001144204-13-034754
10-K2013-04-18fiscal FY 2012421430001144204-13-022740
10-Q2012-12-06fiscal Q3 2012371050001144204-12-066806
10-Q2012-09-06fiscal Q2 2012371050001144204-12-049920
10-Q2012-06-07fiscal Q1 201235720001144204-12-033800
10-K2012-04-12fiscal FY 201135940001144204-12-021301
10-Q2011-12-08fiscal Q3 201135940001144204-11-069029
10-Q2011-09-08fiscal Q2 201135940001144204-11-051933

Inspect the source

Entity
FREDS INC / CIK 0000724571
Captured
SEC response SHA-256
27360bb1ea325e66906e321f6bf5bada745618a2d3120ad36d24f99e5687a590

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/0000724571.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"])))