Luckin Coffee 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 2018-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Coverage by original unit

• CNY: 2018-12-31 to 2025-12-31.
• USD: 2019-12-31 to 2025-12-31.

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Related financial histories

• Luckin Coffee Inc.: total assets
• Luckin Coffee Inc.: total liabilities
• Luckin Coffee Inc.: stockholders equity
• Luckin Coffee Inc.: operating cash flow
• Luckin Coffee Inc.: capital expenditure payments
• Luckin Coffee Inc.: contract revenue excluding tax
• Luckin Coffee Inc.: financing cash flow
• Luckin Coffee Inc.: investing cash flow
• Luckin Coffee Inc.: retained earnings or deficit
• Luckin Coffee Inc.: basic weighted-average shares
• Luckin Coffee Inc.: diluted weighted-average shares
• Luckin Coffee Inc.: basic earnings per share
• Luckin Coffee Inc.: diluted earnings per share
• Luckin Coffee Inc.: income tax expense or benefit
• Luckin Coffee Inc.: net property, plant and equipment
• Luckin Coffee Inc.: share-based compensation expense
• Luckin Coffee Inc.: operating income or loss
• Luckin Coffee Inc.: current assets
• Luckin Coffee Inc.: interest expense
• Luckin Coffee Inc.: current liabilities
• Luckin Coffee Inc.: current accounts payable
• Luckin Coffee Inc.: net current accounts receivable
• Luckin Coffee Inc.: net inventory

Inspect the source

Entity

Luckin Coffee Inc. / CIK 0001767582

Captured

2026-09-21T17:26:38.891Z

SEC response SHA-256

1f5718da4e283364926225794f14d09b3d0fe9370f6a7e3c486336888b299701

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/0001767582.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"])))