OTIS

Otis WorldwideC

NYSE / Capital Goods

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Current thesis

Composite grade C from latest DB weights. Momentum 47.4 / Value 61.6

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 $86.73

Why

Momentum47 · Δ7d -21.2

Value62 · 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

-21.2

Δ21d

+5.5

Value

75% active weight

Current posture

7d trendFlat

Δ7d

+0.0

Δ21d

-1.3

Sentiment

N/A

Coverage pending

No current score

7d trendTrend unavailable

Trend unavailable

Δ7d

Δ21d

Why this grade

Composite grade C. Momentum 47.4 / Value 61.6

Fundamentals (TTM)

As of 2026-08-17

Market Cap

$26.86B

Beta

1.01

Shares Out

380.67M

P/E (TTM)

26.3

P/S (TTM)

2.43

P/FCF (TTM)

50.81

Rev YoY

+7.3%

EPS YoY

+12.4%

Gross Margin

+30.2%

Op Margin

+15.6%

Net Debt

$7.41B

Current Ratio

0.83

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