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Analytics Data | Quantitative Analytics

StarMine Earnings Quality Model

Quantitative dataset for StarMine earnings quality analytics and model-driven investment review.

  1. Key facts
  2. Overview
  3. Description
  4. Access
  5. All categories
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Key facts for StarMine Earnings Quality Model

Coverage metric

Geography:
North America, Asia / Pacific, EMEA, Latin America and the Caribbean
History:
From 1998
Coverage count:
Legal entities - 47000 Public companies
Asset Class
Ordinary Shares, Equities

Delivery metadata

Data Frequency
Daily
Language
English
Delivery methods:
Excel, Deployed/Onsite Servers, API, Web Service, SFTP, Cloud, Desktop, FTP, Bulk, Snowflake, Website, RSS Feed
Data formats:
PDF, GZIP, XML, JSON, CSV, SQL, Text, Python, HTML, Bitmap, MPEG, User Interface, PCAP
Minimum service frequency
Daily

Overview of StarMine Earnings Quality Model

BUILT FOR QUALITY SCREENING

Multi-Factor Quality Analysis

  1. Analyses accruals, cash flow and operating efficiency.
  2. Evaluates the persistence of earnings components.
  3. Assesses the quality of reported versus underlying earnings.
  4. Combines multiple financial statement signals into one score.
EARNINGS QUALITY SIGNALS

Sustainable Earnings Signal

  1. Evaluates the quality and persistence of reported earnings.
  2. Identifies companies with durable financial performance.
  3. Measures the sustainability of earnings sources.
  4. Provides a systematic earnings quality score.
ASSESS EARNINGS DURABILITY

Identify Resilient Companies

  1. Helps distinguish sustainable earnings from transient gains.
  2. Reveals potential deterioration in company fundamentals.
  3. Supports stock selection with fundamental insights.
  4. Highlights companies with stronger future earnings potential.

Description of the dataset

  • LSEG provides the StarMine Earnings Quality Model to rank companies by the sustainability and reliability of their reported earnings. Our 1-100 percentile framework helps investment professionals identify stocks where past earnings are more likely to persist.
  • We define earnings quality through the degree to which historical earnings reflect operating performance and provide a dependable basis for valuation. LSEG helps distinguish companies with persistent, strengthening fundamentals from those whose earnings profile may be deteriorating.
  • Our model is designed to support forward-looking equity analysis without assuming that low earnings quality necessarily indicates manipulation. We help clients evaluate whether reported profits are likely to remain durable relative to a company’s past performance and peer set.
  • StarMine Earnings Quality analytics from LSEG can support stock selection, portfolio construction, screening and risk review. We provide a consistent quantitative signal that complements fundamental research and valuation analysis.

Accessing the dataset

This dataset can be used by the following products. Talk to us to learn more about different packages and offerings.

LDMS - LSEG Data Management Solution
Cloud-hosted data management and repository platform for commodities content. Supports loading and consolidation of LSEG, third-party, and proprietary data and delivers near-streaming and non-streaming datasets such as pricing, reference data, and fundamentals via a unified interface for integration and analysis.
  • Data formats:
    • CSV, XML, JSON, Text, Python, HTML, User Interface
  • Delivery methods:
    • Excel, Web Service, API, Cloud, Desktop
  • Minimum service frequency:
    • Daily
  • Service Frequency Description:
    • Updated every hour

All categories

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