CGNT

Cognyte SoftwareC

Nasdaq / Software & Services

At close

2026-07-20

Current thesis

Q1 showed double-digit revenue growth, billings acceleration, recurring revenue up 10.0%, gross margin expansion, and adjusted EBITDA up 31.5%; management reaffirmed FY27 revenue/EPS/EBITDA guidance and pointed to stronger U.S. momentum, which keeps a rerating path alive if subscription adoption and backlog conversion continue [#IR-2026-06-03].

Posture

Mixed

Lead driver

Sentiment

What changed

Sentiment remains the lead driver in the composite, 7D delta -4.3.

What can break

Cognyte remains exposed to government spending cycles, geopolitical/regulatory risk, and Israel-related operational risk, all of which can matter more in a low-coverage name.

Momentum

Value

Sentiment

Setup hits (3d)

0 · Net Neutral

AI TargetsBase $11.75 · Bull $14.25 · Bear $6.75

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 2026-06-06 • Model: RankAlpha Sentiment Codex

Investment thesis

As of 2026-07-20

Supporting evidence

What

Grade C · Mixed

Confidence Medium · Net Neutral

Target $12.33

Why

Momentum19 · Δ7d -1.4

Value54 · Δ7d +0.1

Sentiment69 · Δ7d -4.3

So what

Balanced signals (Net Neutral). Wait for confirmation before sizing up.

Lead driver: Sentiment · See AI snapshot

Momentum

26% active weight

Current posture

7d trendFlat

Δ7d

-1.4

Δ21d

+4.5

Value

39% active weight

Current posture

7d trendFlat

Δ7d

+0.1

Δ21d

-0.1

Sentiment

34% active weight

Current posture

7d trendSoftening

Δ7d

-4.3

Δ21d

-8.1

Why this grade

Composite grade C. Momentum 19.4 / Value 53.6 / Sentiment 68.6

Fundamentals (TTM)

As of 2026-07-20

Market Cap

$635.78M

Beta

1.60

Shares Out

73.08M

P/E (TTM) · Derived

-1000.0

P/S (TTM)

1.71

P/FCF (TTM)

25.16

Rev YoY

+10.4%

EPS YoY

+205.9%

Gross Margin

+72.5%

Op Margin

+2.3%

Net Debt

-$73.5M

Current Ratio

1.32

As of 2026-07-20 • Updated nightlySource: Internal modelMethodology