NORTHWEST BANCSHARES, INC.: 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• NORTHWEST BANCSHARES, INC.: total assets
• NORTHWEST BANCSHARES, INC.: total liabilities
• NORTHWEST BANCSHARES, INC.: stockholders equity
• NORTHWEST BANCSHARES, INC.: cash and cash equivalents
• NORTHWEST BANCSHARES, INC.: net income or loss
• NORTHWEST BANCSHARES, INC.: operating cash flow
• NORTHWEST BANCSHARES, INC.: capital expenditure payments
• NORTHWEST BANCSHARES, INC.: financing cash flow
• NORTHWEST BANCSHARES, INC.: investing cash flow
• NORTHWEST BANCSHARES, INC.: basic weighted-average shares
• NORTHWEST BANCSHARES, INC.: diluted weighted-average shares
• NORTHWEST BANCSHARES, INC.: basic earnings per share
• NORTHWEST BANCSHARES, INC.: diluted earnings per share
• NORTHWEST BANCSHARES, INC.: income tax expense or benefit
• NORTHWEST BANCSHARES, INC.: net property, plant and equipment
• NORTHWEST BANCSHARES, INC.: share-based compensation expense
• NORTHWEST BANCSHARES, INC.: interest expense
• NORTHWEST BANCSHARES, INC.: goodwill carrying amount
• NORTHWEST BANCSHARES, INC.: net finite-lived intangible assets
• NORTHWEST BANCSHARES, INC.: common-stock repurchase payments

Inspect the source

Entity

NORTHWEST BANCSHARES, INC. / CIK 0001471265

Captured

2026-09-20T09:07:28.596Z

SEC response SHA-256

e80d3d092058663adb5baba7e15a8b511b54c0089844c6dba4f466ac3ae517d6

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/0001471265.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"])))