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TIPT

TiptreeC
Nasdaq / Insurance
Last Price
Quote time unavailable
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Current thesis
Composite grade C from latest DB weights. Momentum 31.7 / Value 51.3 / Sentiment 55.3
Posture
Mixed
Lead driver
Sentiment
What changed
Next scheduled catalyst: earnings 2026-10-29.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
32
Value
51
Sentiment
55
Setup hits (3d)
0 · Net Neutral
AI TargetsBase - · Bull - · Bear -Analysis date unavailable; returns require an exact persisted reference.
Earnings
2026-10-29
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 C · Mixed
Confidence Medium · Net Neutral
Why
Momentum32 · Δ7d -11.9
Value51 · Δ7d +0.3
Sentiment55 · Δ7d -
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.

Confirming evidence

  • • Next scheduled catalyst: earnings 2026-10-29.
  • • Sentiment remains the lead driver in the composite.

Contradictions & invalidation

  • • Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

2026-10-29

Lead driver: Sentiment · See AI snapshot
Momentum
32
8% active weight
Current posture
7d trendSoftening
Δ7d
-11.9
Δ21d
-10.2
Value
51
47% active weight
Current posture
7d trendFlat
Δ7d
+0.3
Δ21d
+2.0
Sentiment
55
45% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade C. Momentum 31.7 / Value 51.3 / Sentiment 55.3

Fundamentals (TTM)
As of 2026-10-23
Market Cap
$606.64M
Beta
1.21
Shares Out
37.24M
P/E (TTM)
13.9
P/S (TTM)
0.33
P/FCF (TTM)
4.21
Rev YoY
-888.1%
EPS YoY
-776.5%
Gross Margin
+69.0%
Op Margin
+7.7%
Net Debt
$49.96M
Current Ratio
5.07
As of 2026-10-23 • Updated nightlySource: Internal modelMethods & Data