LOAR
LoarDNYSE / Capital Goods
Last Price
Quote time unavailable
Current thesis
Composite grade D from latest DB weights. Momentum 67.2 / Value 46.4
Posture
Defensive
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
67
Value
46
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 thesisAs of 2026-09-09
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 D · Defensive
Confidence Medium · Net Neutral
Target $89.80
Why
Momentum67 · Δ7d -29.1
Value46 · Δ7d +0.0
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 +0.0.
Contradictions & invalidation
- • Mixed signals. Wait for cleaner trend confirmation.
Catalyst clock
No dated catalyst is available.
Lead driver: Value · See fundamentals
Momentum
67
25% active weight
Current posture
7d trendSoftening
Δ7d
-29.1
Δ21d
-25.0
Value
46
75% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
+0.6
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade
Composite grade D. Momentum 67.2 / Value 46.4
Fundamentals (TTM)As of 2026-08-17
Fundamentals (TTM)
As of 2026-08-17
Market Cap
$7.29B
Beta
-
Shares Out
93.69M
P/E (TTM)
106.4
P/S (TTM)
13.85
P/FCF (TTM)
71.28
Rev YoY
+39.4%
EPS YoY
+0.8%
Gross Margin
+45.4%
Op Margin
+24.7%
Net Debt
$640.47M
Current Ratio
4.91
As of 2026-09-09 • Updated nightlySource: Internal modelMethods & Data