RED VIOLET, INC.: net income or loss

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2017-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

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

Inspect the source

Entity

RED VIOLET, INC. / CIK 0001720116

Captured

2026-09-21T17:24:46.810Z

SEC response SHA-256

1c207678416e0d8377f10190bfc6754e82ba9db81e720e66d749cbe0cc373861

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/0001720116.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"])))