REBORN COFFEE, INC.: financing cash flow

What this measure means

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2015-10-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• REBORN COFFEE, INC.: total assets
• REBORN COFFEE, INC.: total liabilities
• REBORN COFFEE, INC.: stockholders equity
• REBORN COFFEE, INC.: cash and cash equivalents
• REBORN COFFEE, INC.: net income or loss
• REBORN COFFEE, INC.: operating cash flow
• REBORN COFFEE, INC.: capital expenditure payments
• REBORN COFFEE, INC.: revenue
• REBORN COFFEE, INC.: investing cash flow
• REBORN COFFEE, INC.: retained earnings or deficit
• REBORN COFFEE, INC.: basic weighted-average shares
• REBORN COFFEE, INC.: diluted weighted-average shares
• REBORN COFFEE, INC.: basic earnings per share
• REBORN COFFEE, INC.: diluted earnings per share
• REBORN COFFEE, INC.: income tax expense or benefit
• REBORN COFFEE, INC.: net property, plant and equipment
• REBORN COFFEE, INC.: share-based compensation expense
• REBORN COFFEE, INC.: operating income or loss
• REBORN COFFEE, INC.: current assets
• REBORN COFFEE, INC.: interest expense
• REBORN COFFEE, INC.: current liabilities
• REBORN COFFEE, INC.: current accounts payable
• REBORN COFFEE, INC.: net current accounts receivable
• REBORN COFFEE, INC.: net inventory
• REBORN COFFEE, INC.: cost of revenue

Inspect the source

Entity

REBORN COFFEE, INC. / CIK 0001707910

Captured

2026-09-21T17:24:15.832Z

SEC response SHA-256

d701ebc9bef1aae4aee7c2ee25ccc4315d7941c41e8b1d684d062a2b01ba5a7c

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/0001707910.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"])))