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BEEM

Beam GlobalF
Nasdaq / Capital Goods
Last Price
Quote time unavailable
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Current thesis
Composite grade F from latest DB weights. Momentum 14.9 / Value 34.2
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
15
Value
34
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 F · Defensive
Confidence Medium · Net Neutral
Target $2.50
Why
Momentum15 · Δ7d -
Value34 · 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
15
25% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
34
75% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
+0.5
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade F. Momentum 14.9 / Value 34.2

Fundamentals (TTM)
As of 2026-08-17
Market Cap
$25.31M
Beta
1.25
Shares Out
22.2M
P/E (TTM) · Derived
-0.7
P/S (TTM)
1.10
P/FCF (TTM) · Derived
-1.70
Rev YoY
+21.0%
EPS YoY
-49.0%
Gross Margin
+9.4%
Op Margin
-64.9%
Net Debt
$529K
Current Ratio
1.46
As of 2026-09-10 • Updated nightlySource: Internal modelMethods & Data