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CHKP

Check Point SoftwareD
Nasdaq / Software & Services
Last Price
At close
2026-07-18
View Chart
Current thesis
Primary-source Q1 results still showed 5% revenue growth, 11% subscription growth, 7% RPO growth, and 11% adjusted free cash flow growth, which argues that the recurring base is holding up better than the appliance line [#PR-2026-04-30]. The Google Cloud AI Defense Plane partnership and Secure AI Advisory launch also support a longer-term AI security positioning case [#PR-2026-04-22] [#PR-2026-03-05].
Posture
Defensive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta -0.3.
What can break
AI security announcements are strategically relevant, but monetization timing is not yet demonstrated in reported numbers, so narrative strength could outpace financial proof.
Momentum
37
Value
65
Sentiment
32
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $118.00 · Bull $140.00 · Bear $92.00
Data freshness
Prices
As of 2026-07-18
Fundamentals
As of 2026-07-17 • Vendor: Data Vendor v1
Scores
As of 2026-07-18 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-05 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-18
Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Neutral
Target $146.00
Why
Momentum37 · Δ7d +2.8
Value65 · Δ7d -0.3
Sentiment32 · Δ7d -6.1
So what
Weak posture (Net Neutral). Prioritize risk control and patience.
Lead driver: Value · See fundamentals
Momentum
37
26% active weight
Current posture
7d trendImproving
Δ7d
+2.8
Δ21d
+17.5
Value
65
39% active weight
Current posture
7d trendFlat
Δ7d
-0.3
Δ21d
+0.2
Sentiment
32
34% active weight
Current posture
7d trendSoftening
Δ7d
-6.1
Δ21d
-6.1
Why this grade

Composite grade D. Momentum 37.1 / Value 64.7 / Sentiment 31.6

Fundamentals (TTM)
As of 2026-07-17
Market Cap
$14.29B
Beta
0.58
Shares Out
104.23M
P/E (TTM)
20.3
P/S (TTM)
7.40
P/FCF (TTM)
17.74
Rev YoY
+4.8%
EPS YoY
+5.4%
Gross Margin
+85.4%
Op Margin
+31.8%
Net Debt
-$1.01B
Current Ratio
1.85
As of 2026-07-18 • Updated nightlySource: Internal modelMethodology