Academy Sports and Outdoors, Inc.: cash and cash equivalents

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 2020-02-01 to 2026-01-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• Academy Sports and Outdoors, Inc.: total assets
• Academy Sports and Outdoors, Inc.: total liabilities
• Academy Sports and Outdoors, Inc.: stockholders equity
• Academy Sports and Outdoors, Inc.: net income or loss
• Academy Sports and Outdoors, Inc.: operating cash flow
• Academy Sports and Outdoors, Inc.: capital expenditure payments
• Academy Sports and Outdoors, Inc.: contract revenue excluding tax
• Academy Sports and Outdoors, Inc.: financing cash flow
• Academy Sports and Outdoors, Inc.: investing cash flow
• Academy Sports and Outdoors, Inc.: retained earnings or deficit
• Academy Sports and Outdoors, Inc.: basic weighted-average shares
• Academy Sports and Outdoors, Inc.: diluted weighted-average shares
• Academy Sports and Outdoors, Inc.: basic earnings per share
• Academy Sports and Outdoors, Inc.: diluted earnings per share
• Academy Sports and Outdoors, Inc.: income tax expense or benefit
• Academy Sports and Outdoors, Inc.: net property, plant and equipment
• Academy Sports and Outdoors, Inc.: share-based compensation expense
• Academy Sports and Outdoors, Inc.: operating income or loss
• Academy Sports and Outdoors, Inc.: current assets
• Academy Sports and Outdoors, Inc.: current liabilities
• Academy Sports and Outdoors, Inc.: current accounts payable
• Academy Sports and Outdoors, Inc.: net current accounts receivable
• Academy Sports and Outdoors, Inc.: common-stock repurchase payments
• Academy Sports and Outdoors, Inc.: net inventory
• Academy Sports and Outdoors, Inc.: gross profit
• Academy Sports and Outdoors, Inc.: selling, general and administrative expense

Inspect the source

Entity

Academy Sports and Outdoors, Inc. / CIK 0001817358

Captured

2026-09-21T17:28:53.616Z

SEC response SHA-256

44f4e0b6eb3a4696e1a7a4be4d87803809d7216ded9a060e40fe0a20431d3aa9

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.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001817358.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"])))