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BRIDGFORD FOODS CORPORATION: cash and cash equivalents

Cash and cash equivalents for BRIDGFORD FOODS CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All BRIDGFORD FOODS CORPORATION financial histories

What this measure means

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-10-30 to 2025-10-31. The SEC response was captured on 2026-09-19.

Selected filing history

Cash and cash equivalents in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-10-31876,000USD2026-01-2810-K · 0001493152-26-004079
At date2024-11-0110,230,000USD2026-01-2810-K · 0001493152-26-004079
At date2023-11-0315,708,000USD2025-01-2910-K · 0001493152-25-004182
At date2022-10-2816,333,000USD2024-01-2910-K · 0001493152-24-004024
At date2020-10-304,302,000USD2022-01-2710-K · 0001493152-22-002433
At date2019-11-013,478,000USD2021-01-1510-K · 0001493152-21-001208
At date2018-11-028,179,000USD2020-01-2410-K · 0001493152-20-001049
At date2017-11-0312,109,000USD2019-01-1810-K · 0001493152-19-000765
At date2016-10-286,985,000USD2019-01-1810-K · 0001493152-19-000765
At date2015-10-305,842,000USD2018-01-1210-K · 0001493152-18-000507
At date2014-10-31192,000USD2017-01-1310-K · 0001437749-17-000650
At date2013-11-018,325,000USD2016-01-1510-K · 0001437749-16-023725
At date2012-11-029,744,000USD2015-01-1610-K · 0001437749-15-000786
At date2011-10-289,324,000USD2014-01-1710-K · 0001437749-14-000790
At date2010-10-2915,686,000USD2013-01-1810-K · 0001437749-13-000573
At date2009-10-3013,911,000USD2012-01-1710-K · 0001437749-12-000636

Related financial histories

Inspect the source

Entity
BRIDGFORD FOODS CORPORATION / CIK 0000014177
Captured
2026-09-19T11:13:07.251Z
SEC response SHA-256
0009d46501290cb3fec3db96c3360ce4aa9551ff0ad7f0787556996a1ead7459

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

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/0000014177.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"])))