FICO

Fair IsaacD

NYSE / Software & Services

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Current thesis

Composite grade D from latest DB weights. Momentum 10.6 / Value 55.4

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 $1,443.32

Why

Momentum11 · Δ7d +6.6

Value55 · 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

+6.6

Δ21d

+2.2

Value

75% active weight

Current posture

7d trendFlat

Δ7d

+0.0

Δ21d

+1.1

Sentiment

N/A

Coverage pending

No current score

7d trendTrend unavailable

Trend unavailable

Δ7d

Δ21d

Why this grade

Composite grade D. Momentum 10.6 / Value 55.4

Fundamentals (TTM)

As of 2026-08-17

Market Cap

$22.99B

Beta

1.27

Shares Out

21.6M

P/E (TTM)

62.3

P/S (TTM)

19.69

P/FCF (TTM)

53.02

Rev YoY

+25.7%

EPS YoY

+41.2%

Gross Margin

+85.1%

Op Margin

+52.1%

Net Debt

$2.96B

Current Ratio

1.18

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