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CTSH

Cognizant SolutionsC
Nasdaq / Software & Services
Last Price
At close
2026-07-20
View Chart
Current thesis
The best near-term bull argument is that Q1 showed credible demand signals underneath the macro noise: bookings rose 21%, Financial Services led segment growth, large-deal activity strengthened, and management raised full-year adjusted operating margin guidance. If Project Leap savings and Astreya integration improve mix without hurting delivery, the stock can rerate from a low-growth services frame toward a cleaner AI-enabled productivity story.
Posture
Mixed
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta -0.1.
What can break
Cautious client IT spending is still constraining near-term revenue visibility, with Reuters saying Q2 guidance came in below Wall Street expectations.
Momentum
6
Value
70
Sentiment
60
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $52.00 · Bull $58.00 · Bear $46.00
Data freshness
Prices
As of 2026-07-20
Fundamentals
As of 2026-07-20 • Vendor: Data Vendor v1
Scores
As of 2026-07-20 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-05 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-20
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $63.22
Why
Momentum6 · Δ7d +0.3
Value70 · Δ7d -0.1
Sentiment60 · Δ7d -10.6
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Value · See fundamentals
Momentum
6
26% active weight
Current posture
7d trendFlat
Δ7d
+0.3
Δ21d
-0.3
Value
70
39% active weight
Current posture
7d trendFlat
Δ7d
-0.1
Δ21d
-0.3
Sentiment
60
34% active weight
Current posture
7d trendSoftening
Δ7d
-10.6
Δ21d
-15.2
Why this grade

Composite grade C. Momentum 6.3 / Value 69.9 / Sentiment 60.4

Fundamentals (TTM)
As of 2026-07-20
Market Cap
$21.15B
Beta
0.95
Shares Out
473.87M
P/E (TTM)
16.0
P/S (TTM)
1.89
P/FCF (TTM)
19.29
Rev YoY
+5.8%
EPS YoY
+3.6%
Gross Margin
+30.9%
Op Margin
+15.8%
Net Debt
-$750M
Current Ratio
2.23
As of 2026-07-20 • Updated nightlySource: Internal modelMethodology