Regional Management Corp.: basic earnings per share

What this measure means

Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.

Exact concept: us-gaap:EarningsPerShareBasic. 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Regional Management Corp. / CIK 0001519401

Captured

2026-09-20T09:14:21.297Z

SEC response SHA-256

6c39b752353b81a1f04d8e3ab1338d6b16f4a17f8e1f66ab3ca043111810ab48

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/0001519401.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"])))