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AIXI

Xiao-IC
Nasdaq / Software & Services
Last Price
At close
2026-07-18
View Chart
Current thesis
The best bull read is that the company did complete the delayed filing within the extension window, ended 2025 with higher cash than 2024, retains a sizable patent estate, and still has litigation/IP optionality after the Apple-validity ruling. If financing pressure eases and IP-backed enterprise AI commercialization improves, the stock can remain highly reflexive from a very small market cap.
Posture
Mixed
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite, 7D delta +11.0.
What can break
Customer concentration is meaningful: the top three customers represented 31.9%, 14.8%, and 11.8% of 2025 revenue, increasing execution risk if any program slips. [#20F-2026-05-15]
Momentum
2
Value
43
Sentiment
100
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $10.00 · Bull $16.00 · Bear $6.00
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 2026-05-16 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-18
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $21.60
Why
Momentum2 · Δ7d -0.7
Value43 · Δ7d 0.0
Sentiment100 · Δ7d +11.0
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Sentiment · See AI snapshot
Momentum
2
26% active weight
Current posture
7d trendFlat
Δ7d
-0.7
Δ21d
-85.1
Value
43
39% active weight
Current posture
7d trendFlat
Δ7d
0.0
Δ21d
-1.3
Sentiment
100
34% active weight
Current posture
7d trendImproving
Δ7d
+11.0
Δ21d
+73.3
Why this grade

Composite grade C. Momentum 1.6 / Value 43.1 / Sentiment 100.0

Fundamentals (TTM)
As of 2026-07-17
Market Cap
$1.42M
Beta
-
Shares Out
920.59K
P/E (TTM) · Derived
-0.0
P/S (TTM)
0.08
P/FCF (TTM) · Derived
-0.28
Rev YoY
+14.3%
EPS YoY
+125.3%
Gross Margin
+44.4%
Op Margin
-18.3%
Net Debt
$44.34M
Current Ratio
0.10
As of 2026-07-18 • Updated nightlySource: Internal modelMethodology