CARVANA CO.: 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 2015-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• CARVANA CO.: total assets
• CARVANA CO.: total liabilities
• CARVANA CO.: stockholders equity
• CARVANA CO.: cash and cash equivalents
• CARVANA CO.: net income or loss
• CARVANA CO.: operating cash flow
• CARVANA CO.: capital expenditure payments
• CARVANA CO.: contract revenue excluding tax
• CARVANA CO.: investing cash flow
• CARVANA CO.: retained earnings or deficit
• CARVANA CO.: basic weighted-average shares
• CARVANA CO.: diluted weighted-average shares
• CARVANA CO.: basic earnings per share
• CARVANA CO.: diluted earnings per share
• CARVANA CO.: income tax expense or benefit
• CARVANA CO.: net property, plant and equipment
• CARVANA CO.: share-based compensation expense
• CARVANA CO.: operating income or loss
• CARVANA CO.: current assets
• CARVANA CO.: interest expense
• CARVANA CO.: current liabilities
• CARVANA CO.: current accounts payable
• CARVANA CO.: goodwill carrying amount
• CARVANA CO.: net finite-lived intangible assets
• CARVANA CO.: net current accounts receivable
• CARVANA CO.: net inventory
• CARVANA CO.: gross profit
• CARVANA CO.: selling, general and administrative expense

Inspect the source

Entity

CARVANA CO. / CIK 0001690820

Captured

2026-09-21T17:25:22.789Z

SEC response SHA-256

d03b53550afaeb6950840e99d4bd65137691cb390f975dc393344eb58e7c82aa

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/0001690820.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"])))