HGTY

HagertyC

NYSE / Insurance

Quote time unavailable

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Current thesis

Composite grade C from latest DB weights. Momentum 81.0 / Value 42.9 / Sentiment 63.3

Posture

Mixed

Lead driver

Sentiment

What changed

Sentiment remains the lead driver in the composite.

What can break

Mixed signals. Wait for cleaner trend confirmation.

Momentum

Value

Sentiment

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 C · Mixed

Confidence Medium · Net Neutral

Target $14.50

Why

Momentum81 · Δ7d +5.7

Value43 · Δ7d +0.3

Sentiment63 · Δ7d -

So what

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

Confirming evidence

• Sentiment remains the lead driver in the composite.

Contradictions & invalidation

• Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

No dated catalyst is available.

Lead driver: Sentiment · See AI snapshot

Momentum

9% active weight

Current posture

7d trendImproving

Δ7d

+5.7

Δ21d

+18.8

Value

28% active weight

Current posture

7d trendFlat

Δ7d

+0.3

Δ21d

+0.6

Sentiment

62% active weight

Current posture

7d trendTrend unavailable

Trend unavailable

Δ7d

Δ21d

Why this grade

Composite grade C. Momentum 81.0 / Value 42.9 / Sentiment 63.3

Fundamentals (TTM)

As of 2026-08-17

Market Cap

$4.42B

Beta

0.89

Shares Out

102.07M

P/E (TTM)

33.6

P/S (TTM)

3.20

P/FCF (TTM)

28.10

Rev YoY

-6.5%

EPS YoY

-117.6%

Gross Margin

Op Margin

+4.1%

Net Debt

-$66.43M

Current Ratio

1.88

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