Delayed 15 min · sample data
DMX4,812.44+0.62%DMX-EU2,204.10-0.18%DMX-AP1,733.87+0.41%USD/EUR1.0842-0.07%USD/JPY149.33+0.12%DEMO 10Y4.21%-0.03%DMX4,812.44+0.62%DMX-EU2,204.10-0.18%DMX-AP1,733.87+0.41%USD/EUR1.0842-0.07%USD/JPY149.33+0.12%DEMO 10Y4.21%-0.03%

Fundamental Relative Value

Scores measure how far a name sits from the valuation its peers justify — cheap for its quality, growth and risk, not merely cheap.

Sample data · point-in-time filings
NamePeer groupS-scoreMultiplePercentileQuality
NXMRNordmar Resources · MaterialsDiversified MetalsA92th9.8x92th74th
CLRACellara Semiconductors · TechnologySemiconductorsB+88th21.4x88th81th
HALCHalcion Pharma · HealthcareSpecialty PharmaB71th16.1x71th69th
MIRVMiravel Cosmetics · ConsumerPersonal ProductsB54th24.7x54th58th
VLTAVolanta Airlines · IndustrialsPassenger AirlinesC38th7.2x38th33th
ORCAOrcadia Energy · EnergyE&P IndependentsD21th14.2x21th68th
BRWGBrightwave Media · CommunicationInteractive MediaD14th31.9x14th41th
TQSATorqua Steel · MaterialsDiversified MetalsD9th12.8x9th52th
As of Oct 31, 2026 · sample data with fictional tickers · pair ideas arrive with Pro

How the score is built

  1. 1Group names by industry with comparable size and disclosure.
  2. 2Regress log(multiple) on a quality composite (returns on capital, accruals, leverage).
  3. 3The residual — distance from the regression line — becomes the score percentile.
  4. 4Recompute only on filed data; historical scores are never restated with hindsight.

Research output, not a recommendation. See the methodology page for formulas and limitations.