SHAK

Shake ShackD

NYSE / Consumer Services

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Current thesis

Composite grade D from latest DB weights. Momentum 73.5 / Value 40.4

Posture

Defensive

Lead driver

Value

What changed

Value remains the lead driver in the composite, 7D delta -0.1.

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 2026-09-10 • Model: HYBRID_IC_RP

AI Memo

Unavailable: No memo yet

Investment thesis

As of 2026-09-10

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-09-10. Definitions

Supporting evidence

What

Grade D · Defensive

Confidence Medium · Net Neutral

Target $82.04

Why

Momentum73 · Δ7d -18.4

Value40 · Δ7d -0.1

SentimentN/A · Δ7d -

So what

Weak posture (Net Neutral). Prioritize risk control and patience.

Confirming evidence

• Value remains the lead driver in the composite, 7D delta -0.1.

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

-18.4

Δ21d

-17.8

Value

75% active weight

Current posture

7d trendFlat

Δ7d

-0.1

Δ21d

-3.1

Sentiment

N/A

Coverage pending

No current score

7d trendTrend unavailable

Trend unavailable

Δ7d

Δ21d

Why this grade

Composite grade D. Momentum 73.5 / Value 40.4

Fundamentals (TTM)

As of 2026-08-17

Market Cap

$3.18B

Beta

1.75

Shares Out

40.41M

P/E (TTM)

83.0

P/S (TTM)

2.60

P/FCF (TTM)

56.67

Rev YoY

+17.2%

EPS YoY

-8.7%

Gross Margin

+17.9%

Op Margin

+5.4%

Net Debt

$542M

Current Ratio

1.67

As of 2026-09-10 • Updated nightlySource: Internal modelMethods & Data