RACE

FerrariC

NYSE / Automobiles & Components

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Current thesis

Composite grade C from latest DB weights. Momentum 80.8 / Value 50.6

Posture

Mixed

Lead driver

Value

What changed

Value remains the lead driver in the composite, 7D delta 0.0.

What can break

Mixed signals. Wait for cleaner trend confirmation.

Momentum

Value

Sentiment

N/A

Setup hits (3d)

0 · Net Neutral

AI TargetsBase - · Bull - · Bear -Analysis date unavailable; returns require an exact persisted reference.

Data freshness

Prices

Unavailable: Price unavailable

Fundamentals

As of 2026-08-17 • Vendor: Data Vendor v1

Scores

As of 2026-09-09 • Model: HYBRID_IC_RP

AI Memo

Unavailable: No memo yet

Investment thesis

As of 2026-09-09

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-09-09. Definitions

Supporting evidence

What

Grade C · Mixed

Confidence Medium · Net Neutral

Target $460.09

Why

Momentum81 · Δ7d -17.2

Value51 · Δ7d 0.0

SentimentN/A · Δ7d -

So what

Balanced signals (Net Neutral). Wait for confirmation before sizing up.

Confirming evidence

• Value remains the lead driver in the composite, 7D delta 0.0.

Contradictions & invalidation

• Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

No dated catalyst is available.

Lead driver: Value · See fundamentals

Momentum

25% active weight

Current posture

7d trendSoftening

Δ7d

-17.2

Δ21d

-12.6

Value

75% active weight

Current posture

7d trendFlat

Δ7d

0.0

Δ21d

+0.5

Sentiment

N/A

Coverage pending

No current score

7d trendTrend unavailable

Trend unavailable

Δ7d

Δ21d

Why this grade

Composite grade C. Momentum 80.8 / Value 50.6

Fundamentals (TTM)

As of 2026-08-17

Market Cap

$92.04B

Beta

0.75

Shares Out

159.27M

P/E (TTM)

35.9

P/S (TTM)

8.80

P/FCF (TTM)

47.17

Rev YoY

+11.2%

EPS YoY

+13.0%

Gross Margin

+51.9%

Op Margin

+29.8%

Net Debt

$1.57B

Current Ratio

2.37

As of 2026-09-09 • Updated nightlySource: Internal modelMethods & Data