Screening

10,792 companies, fundamentally scored and comparable

Not just metrics — percentiles against the full universe and against the company's own peer group.

curl "$API/scoring/peers/SAP"

{
  "ticker": "SAP",
  "peerGroup": "Enterprise software",
  "peers": 34,
  "percentiles": { "profitability": 81, "solvency": 74, "growth": 62 }
}

What you can do with it

ScreenFilter and sort over the persisted scores.
Retrieve a single profileOpportunities and risks from the fundamentals.
Place itWhere does a security sit in its peer group — absolute and by percentile?
Compare price performance against peersOver a window of your choosing.

Why we built it this way

An absolute metric says little. So every score is additionally kept as a percentile — against the thematic peer group rather than a coarse industry list.

Industry codes do not separate what investors separate. The peer group therefore comes from the taxonomy, not from a four-digit code.

Improvements

Peer groups now come from the thematic taxonomy
Scores rest on the same normalised statements as the fundamentals

Endpoints

GET	`/scoring`	Screening across all scores
GET	`/scoring/{ticker}`	Single profile
GET	`/scoring/peers/{ticker}`	Peer group and percentile
GET	`/performance/peer-comparison/{identifier}`	Price comparison

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