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CONAGRA BRANDS INC: cash and cash equivalents

Cash and cash equivalents for CONAGRA BRANDS INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CONAGRA BRANDS INC 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 2007-05-27 to 2026-05-31. 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 date2026-05-31218,000,000USD2026-07-1510-K · 0001104659-26-083905
At date2025-05-2568,000,000USD2026-07-1510-K · 0001104659-26-083905
At date2024-05-2677,700,000USD2025-07-1010-K · 0001558370-25-009180
At date2023-05-2893,300,000USD2024-07-1110-K · 0001558370-24-009764
At date2022-05-2983,300,000USD2023-07-1310-K · 0001437749-23-019879
At date2021-05-3079,200,000USD2022-07-2110-K · 0001437749-22-017530
At date2020-05-31553,300,000USD2021-07-2310-K · 0001564590-21-037738
At date2019-05-26236,600,000USD2020-07-2410-K · 0001564590-20-033366
At date2018-05-27128,000,000USD2019-07-1910-K · 0000023217-19-000006
At date2017-05-28251,400,000USD2018-07-2010-K · 0000023217-18-000005
At date2016-05-29798,100,000USD2017-07-2110-K · 0001628280-17-007184
At date2015-05-31183,100,000USD2015-07-1710-K · 0001628280-15-005333
At date2014-05-25141,300,000USD2015-07-1710-K · 0001628280-15-005333
At date2013-05-26150,900,000USD2015-07-1710-K · 0001628280-15-005333
At date2012-05-2785,900,000USD2015-07-1710-K · 0001628280-15-005333
At date2011-05-29972,400,000USD2014-07-1610-K · 0000023217-14-000009
At date2010-05-30953,200,000USD2013-07-1910-K · 0001445305-13-001653
At date2009-05-31243,200,000USD2012-07-2010-K · 0001193125-12-308387
At date2008-05-25140,900,000USD2011-07-1910-K · 0000950123-11-066520
At date2007-05-27730,800,000USD2010-07-2210-K · 0000950123-10-067148

Related financial histories

Inspect the source

Entity
CONAGRA BRANDS INC / CIK 0000023217
Captured
2026-09-19T14:45:23.770Z
SEC response SHA-256
7f122d7d40634aa2fe0aff202caf19a4c99011f9bc0f96f89abdaeb5ed8df7d3

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/0000023217.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"])))