RankAlpha logo
Back to Rankings

FIG

FigmaD
NYSE / Software & Services
Last Price
Quote time unavailable
View Chart
Current thesis
Composite grade D from latest DB weights. Momentum 52.8 / Value 41.0
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
53
Value
41
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 2026-09-11 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
Investment thesis
As of 2026-09-11

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-09-11. Definitions

Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Neutral
Target $30.89
Why
Momentum53 · Δ7d -20.1
Value41 · 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
53
25% active weight
Current posture
7d trendFlat
Δ7d
-20.1
Δ21d
-18.5
Value
41
75% active weight
Current posture
7d trendFlat
Δ7d
-0.0
Δ21d
-8.5
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade D. Momentum 52.8 / Value 41.0

Fundamentals (TTM)
As of 2026-08-17
Market Cap
$13.32B
Beta
-
Shares Out
533.01M
P/E (TTM) · Derived
-10.3
P/S (TTM)
-
P/FCF (TTM) · Derived
56.71
Rev YoY
+48.2%
EPS YoY
-13387.5%
Gross Margin
+79.1%
Op Margin
-123.8%
Net Debt
-$1.61B
Current Ratio
2.45
As of 2026-09-11 • Updated nightlySource: Internal modelMethods & Data