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RELX

RELXC
NYSE / Commercial & Professional Services
Last Price
Quote time unavailable
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Current thesis
Composite grade C from latest DB weights. Momentum 84.8 / Value 50.3
Posture
Mixed
Lead driver
Value
What changed
3 setup hits (3d) with net bullish as of 2026-10-25.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
85
Value
50
Sentiment
N/A
Setup hits (3d)
3 · Net Bullish
AI TargetsBase - · Bull - · Bear -Analysis date unavailable; returns require an exact persisted reference.
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 Bullish
Target $47.27
Why
Momentum85 · Δ7d +4.8
Value50 · Δ7d -0.7
SentimentN/A · Δ7d -
So what
Balanced signals (Net Bullish). Wait for confirmation before sizing up.

Confirming evidence

  • • 3 setup hits (3d) with net bullish as of 2026-10-25.
  • • Value remains the lead driver in the composite, 7D delta -0.7.

Contradictions & invalidation

  • • Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

No dated catalyst is available.

Lead driver: Value · See fundamentals
Momentum
85
15% active weight
Current posture
7d trendSoftening
Δ7d
+4.8
Δ21d
+41.7
Value
50
85% active weight
Current posture
7d trendFlat
Δ7d
-0.7
Δ21d
-2.5
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade C. Momentum 84.8 / Value 50.3

Fundamentals (TTM)
As of 2026-10-23
Market Cap
$71.63B
Beta
0.42
Shares Out
1.74B
P/E (TTM)
29.9
P/S (TTM)
5.91
P/FCF (TTM)
51.51
Rev YoY
+2.2%
EPS YoY
+0.6%
Gross Margin
+63.9%
Op Margin
+32.1%
Net Debt
$9.6B
Current Ratio
0.45
As of 2026-10-23 • Updated nightlySource: Internal modelMethods & Data