SOUTHWEST AIRLINES CO.: retained earnings or deficit

What this measure means

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. 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 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• SOUTHWEST AIRLINES CO.: total assets
• SOUTHWEST AIRLINES CO.: stockholders equity
• SOUTHWEST AIRLINES CO.: cash and cash equivalents
• SOUTHWEST AIRLINES CO.: net income or loss
• SOUTHWEST AIRLINES CO.: operating cash flow
• SOUTHWEST AIRLINES CO.: capital expenditure payments
• SOUTHWEST AIRLINES CO.: revenue
• SOUTHWEST AIRLINES CO.: contract revenue excluding tax
• SOUTHWEST AIRLINES CO.: financing cash flow
• SOUTHWEST AIRLINES CO.: investing cash flow
• SOUTHWEST AIRLINES CO.: basic weighted-average shares
• SOUTHWEST AIRLINES CO.: diluted weighted-average shares
• SOUTHWEST AIRLINES CO.: basic earnings per share
• SOUTHWEST AIRLINES CO.: diluted earnings per share
• SOUTHWEST AIRLINES CO.: income tax expense or benefit
• SOUTHWEST AIRLINES CO.: net property, plant and equipment
• SOUTHWEST AIRLINES CO.: share-based compensation expense
• SOUTHWEST AIRLINES CO.: operating income or loss
• SOUTHWEST AIRLINES CO.: current assets
• SOUTHWEST AIRLINES CO.: interest expense
• SOUTHWEST AIRLINES CO.: current liabilities
• SOUTHWEST AIRLINES CO.: current accounts payable
• SOUTHWEST AIRLINES CO.: goodwill carrying amount
• SOUTHWEST AIRLINES CO.: net finite-lived intangible assets
• SOUTHWEST AIRLINES CO.: common-stock repurchase payments
• SOUTHWEST AIRLINES CO.: operating expenses

Inspect the source

Entity

SOUTHWEST AIRLINES CO. / CIK 0000092380

Captured

2026-09-19T14:52:43.126Z

SEC response SHA-256

7c2768fa2d6bfc2aee4a9f17ac6e0814434a45623283a8a8da8218ddc6cf678b

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/0000092380.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"])))