Regions Financial Corporation: income tax expense or benefit

What this measure means

Current and deferred income tax expense or benefit for continuing operations. This accounting expense differs from cash taxes paid.

Exact concept: us-gaap:IncomeTaxExpenseBenefit. 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 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Regions Financial Corporation: total assets
• Regions Financial Corporation: total liabilities
• Regions Financial Corporation: stockholders equity
• Regions Financial Corporation: cash and cash equivalents
• Regions Financial Corporation: net income or loss
• Regions Financial Corporation: operating cash flow
• Regions Financial Corporation: financing cash flow
• Regions Financial Corporation: investing cash flow
• Regions Financial Corporation: retained earnings or deficit
• Regions Financial Corporation: basic weighted-average shares
• Regions Financial Corporation: diluted weighted-average shares
• Regions Financial Corporation: basic earnings per share
• Regions Financial Corporation: diluted earnings per share
• Regions Financial Corporation: net property, plant and equipment
• Regions Financial Corporation: share-based compensation expense
• Regions Financial Corporation: operating income or loss
• Regions Financial Corporation: interest expense
• Regions Financial Corporation: goodwill carrying amount
• Regions Financial Corporation: net finite-lived intangible assets
• Regions Financial Corporation: common-stock repurchase payments

Inspect the source

Entity

Regions Financial Corporation / CIK 0001281761

Captured

2026-09-20T07:48:43.715Z

SEC response SHA-256

b6dec3ef9f5ee90723b8efb243bd6e2bd9e71a6401bb93944a5411b7c5ebd729

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/0001281761.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"])))