AIIO
Robo.aiFNasdaq / Automobiles & Components
Last Price
At close
2026-06-02
Current thesis
The constructive case is that Robo.ai is exiting weaker legacy assets, using new capital to fund a pivot, and may have found an early monetizable niche in embodied-AI data collection. The DaBoss JV structure, stated revenue-recognition start, and 2026 delivery targets create a plausible, though still lightly evidenced, path to a more credible software-plus-data story.
Posture
Defensive
Lead driver
Momentum
What changed
Momentum remains the lead driver in the composite.
What can break
Execution risk is high because the investment case depends on newly announced ventures, capacity targets, and commercialization claims that still need confirmation in reported financials.
Momentum
72
Value
41
Sentiment
0
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $0.58 · Bull $1.05 · Bear $0.28
Data freshness
Prices
As of 2026-06-02
Fundamentals
As of 2026-06-02 • Vendor: Data Vendor v1
Scores
As of 2026-06-02 • Model: HYBRID_IC_RP
AI Memo
As of 2026-04-20 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-06-02
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade F · Defensive
Confidence Medium · Net Neutral
Why
Momentum72 · Δ7d -
Value41 · Δ7d 0.0
Sentiment0 · Δ7d -
So what
Weak posture (Net Neutral). Prioritize risk control and patience.
Lead driver: Momentum · See technicals
Momentum
72
34% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
41
32% active weight
Current posture
7d trendFlat
Δ7d
0.0
Δ21d
0.0
Sentiment
0
33% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade
Composite grade F. Momentum 72.0 / Value 40.6 / Sentiment 0.0
Fundamentals (TTM)As of 2026-06-02
Fundamentals (TTM)
As of 2026-06-02
Market Cap
$54.11M
Beta
1.75
Shares Out
337.61M
P/E (TTM) · Derived
-0.3
P/S (TTM)
18.34
P/FCF (TTM)
3.15
Rev YoY
-87.9%
EPS YoY
+93.1%
Gross Margin
+54.5%
Op Margin
-1753.0%
Net Debt
$18.74M
Current Ratio
0.30
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology

