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GBLI

Global Indemnity GroupC
Nasdaq / Insurance
Last Price
Quote time unavailable
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Current thesis
Composite grade C from latest DB weights. Momentum 42.6 / Value 52.3 / Sentiment 56.5
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
43
Value
52
Sentiment
56
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 2026-08-11 • Vendor: Data Vendor v1
Scores
As of 2026-08-12 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
Investment thesis
As of 2026-08-12

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-08-12. Definitions

Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $49.00
Why
Momentum43 · Δ7d -
Value52 · Δ7d -0.1
Sentiment56 · 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
43
10% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
52
40% active weight
Current posture
7d trendFlat
Δ7d
-0.1
Δ21d
-0.4
Sentiment
56
49% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade C. Momentum 42.6 / Value 52.3 / Sentiment 56.5

Fundamentals (TTM)
As of 2026-08-11
Market Cap
$407.6M
Beta
0.41
Shares Out
14.64M
P/E (TTM)
14.6
P/S (TTM)
0.91
P/FCF (TTM)
21.26
Rev YoY
+0.5%
EPS YoY
-197.1%
Gross Margin
-
Op Margin
+8.2%
Net Debt
-$57.21M
Current Ratio
1.34
As of 2026-08-12 • Updated nightlySource: Internal modelMethods & Data