IIIV

i3 VerticalsD

Nasdaq / Software & Services

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Current thesis

Composite grade D from latest DB weights. Momentum 4.0 / Value 62.6

Posture

Defensive

Lead driver

Value

What changed

Value remains the lead driver in the composite, 7D delta +0.0.

What can break

Mixed signals. Wait for cleaner trend confirmation.

Momentum

Value

Sentiment

N/A

Setup hits (3d)

0 · Net Neutral

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 D · Defensive

Confidence Medium · Net Neutral

Target $25.50

Why

Momentum4 · Δ7d +1.8

Value63 · Δ7d +0.0

SentimentN/A · Δ7d -

So what

Weak posture (Net Neutral). Prioritize risk control and patience.

Confirming evidence

• Value remains the lead driver in the composite, 7D delta +0.0.

Contradictions & invalidation

• Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

No dated catalyst is available.

Lead driver: Value · See fundamentals

Momentum

25% active weight

Current posture

7d trendImproving

Δ7d

+1.8

Δ21d

-2.8

Value

75% active weight

Current posture

7d trendFlat

Δ7d

+0.0

Δ21d

+1.2

Sentiment

N/A

Coverage pending

No current score

7d trendTrend unavailable

Trend unavailable

Δ7d

Δ21d

Why this grade

Composite grade D. Momentum 4.0 / Value 62.6

Fundamentals (TTM)

As of 2026-08-17

Market Cap

$422.42M

Beta

0.99

Shares Out

18.02M

P/E (TTM)

275.5

P/S (TTM)

3.68

P/FCF (TTM)

23.16

Rev YoY

+2.2%

EPS YoY

-1226.8%

Gross Margin

+55.2%

Op Margin

+3.1%

Net Debt

-$61.88M

Current Ratio

1.21

As of 2026-09-09 • Updated nightlySource: Internal modelMethods & Data