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SWIM

Latham GroupD
Nasdaq / Consumer Durables & Apparel
Last Price
Quote time unavailable
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Current thesis
Composite grade D from latest DB weights. Momentum 34.6 / Value 52.4
Posture
Defensive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta -1.4.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
35
Value
52
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 2026-10-23 • Vendor: Data Vendor v1
Scores
As of 2026-10-23 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
Investment thesis
As of 2026-10-23

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-10-23. Definitions

Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Neutral
Target $8.53
Why
Momentum35 · Δ7d -8.8
Value52 · Δ7d -1.4
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 -1.4.

Contradictions & invalidation

  • • Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

No dated catalyst is available.

Lead driver: Value · See fundamentals
Momentum
35
15% active weight
Current posture
7d trendSoftening
Δ7d
-8.8
Δ21d
-19.6
Value
52
85% active weight
Current posture
7d trendSoftening
Δ7d
-1.4
Δ21d
+0.1
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade D. Momentum 34.6 / Value 52.4

Fundamentals (TTM)
As of 2026-10-23
Market Cap
$781.76M
Beta
1.71
Shares Out
117.65M
P/E (TTM) · Derived
69.5
P/S (TTM)
1.41
P/FCF (TTM)
31.48
Rev YoY
+14.4%
EPS YoY
-20.3%
Gross Margin
+28.4%
Op Margin
+6.3%
Net Debt
$243.33M
Current Ratio
2.16
As of 2026-10-23 • Updated nightlySource: Internal modelMethods & Data