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AON

AonC
NYSE / Insurance
Last Price
Quote time unavailable
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Current thesis
Composite grade C from latest DB weights. Momentum 19.9 / Value 49.5 / Sentiment 62.0
Posture
Mixed
Lead driver
Sentiment
What changed
1 setup hits (3d) with net bearish as of 2026-09-10.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
20
Value
50
Sentiment
62
Setup hits (3d)
1 · Net Bearish
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 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 C · Mixed
Confidence Medium · Net Bearish
Target $391.94
Why
Momentum20 · Δ7d -3.4
Value50 · Δ7d 0.0
Sentiment62 · Δ7d -
So what
Balanced signals (Net Bearish). Wait for confirmation before sizing up.

Confirming evidence

  • 1 setup hits (3d) with net bearish as of 2026-09-10.
  • 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
20
9% active weight
Current posture
7d trendSoftening
Δ7d
-3.4
Δ21d
-30.0
Value
50
28% active weight
Current posture
7d trendFlat
Δ7d
0.0
Δ21d
0.0
Sentiment
62
62% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade C. Momentum 19.9 / Value 49.5 / Sentiment 62.0

Fundamentals (TTM)
As of 2026-08-17
Market Cap
$73.65B
Beta
0.83
Shares Out
212.13M
P/E (TTM)
28.1
P/S (TTM)
4.43
P/FCF (TTM)
31.12
Rev YoY
+0.0%
EPS YoY
-3.3%
Gross Margin
+89.6%
Op Margin
+28.5%
Net Debt
$13.27B
Current Ratio
1.03
As of 2026-09-09 • Updated nightlySource: Internal modelMethods & Data