Rank.ai
Menu
Live
RANK.AI / PUBLISHED METHOD

Debt exposure methodology

Ranks reported long-term debt components relative to total assets; higher exposure is not a credit-quality judgment.

Version
1
Published
Jul 28, 2026
Live boards
1
Method ID
debt-exposure

Where the facts come from

Source Board

company-financials

Allowed Sources
  • sec-companyfacts

How the order is produced

min(sum available reported current and noncurrent long-term debt components / total assets, 2.0), cohort min-max

When the method reruns

  • daily

Boards using this version

Only live, quality-gated boards appear. Each board opens on the exact published table and evidence path.

BoardPrimary measureRowsConfidenceFreshnessBoard versionCadenceEvidence
Debt Exposuredebt-exposuredebt-exposure-score19100% current1dailyOpen board →

Complete measurement ledger

These fields are stored with the methodology version. A changed contract must publish a new version before comparable movement can resume.

Range

  • 0
  • 100

Formula

min(sum available reported current and noncurrent long-term debt components / total assets, 2.0), cohort min-max

Evidence

exact observation IDs frozen per snapshot

Selection

latest eligible evidence by reporting period, then observation time; annual periods preferred for flow facts

Score Metric

debt-exposure-score

Source Board

company-financials

Normalization

cohort-relative only; raw values remain in ranking components

Allowed Sources

  • sec-companyfacts

Partial Debt Coverage

explicitly marked as a lower bound

Debt exposure methodology | Rank.ai