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Nasdaq / Software & Services
Last Price
At close
2026-07-18
View Chart
Current thesis
The bull case is that Q3 reinforced the higher-quality part of the model: ARR grew 8.5%, platform revenue grew 6.6%, platform mix rose to 43% of revenue, gross margin expanded, and EBITDA improved. If transaction pressure stabilizes, even modest revenue growth could translate into disproportionate margin upside from the richer software mix.
Posture
Constructive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta +0.5.
What can break
Cash flow from operations was $1.0 million in the quarter versus $2.9 million a year earlier, reflecting timing of billings and working-capital changes; that warrants monitoring if growth remains uneven. [#SEC-8K-2026-05-14]
Momentum
65
Value
62
Sentiment
64
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $2.60 · Bull $3.60 · Bear $1.70
Data freshness
Prices
As of 2026-07-18
Fundamentals
As of 2026-07-17 • Vendor: Data Vendor v1
Scores
As of 2026-07-18 • Model: HYBRID_IC_RP
AI Memo
As of 2026-06-18 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-18
Supporting evidence
What
Grade A · Constructive
Confidence Medium · Net Neutral
Target $3.83
Why
Momentum65 · Δ7d -
Value62 · Δ7d +0.5
Sentiment64 · Δ7d -
So what
Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.
Lead driver: Value · See fundamentals
Momentum
65
26% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
62
39% active weight
Current posture
7d trendFlat
Δ7d
+0.5
Δ21d
+1.4
Sentiment
64
34% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade A. Momentum 65.1 / Value 61.5 / Sentiment 64.3

Fundamentals (TTM)
As of 2026-07-17
Market Cap
$73.92M
Beta
0.75
Shares Out
33.45M
P/E (TTM)
85.3
P/S (TTM)
1.93
P/FCF (TTM)
13.14
Rev YoY
-4.3%
EPS YoY
+295.5%
Gross Margin
+48.8%
Op Margin
+5.7%
Net Debt
-$12.23M
Current Ratio
0.82
As of 2026-07-18 • Updated nightlySource: Internal modelMethodology