AIIO

Robo.aiF

Nasdaq / Automobiles & Components

At close

2026-07-22

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, 7D delta -2.0.

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

Value

Sentiment

Setup hits (3d)

0 · Net Neutral

AI TargetsBase $0.58 · Bull $1.05 · Bear $0.28

Data freshness

Prices

As of 2026-07-22

Fundamentals

As of 2026-07-22 • Vendor: Data Vendor v1

Scores

As of 2026-07-22 • Model: HYBRID_IC_RP

AI Memo

As of 2026-04-20 • Model: RankAlpha Sentiment Codex

Investment thesis

As of 2026-07-22

Supporting evidence

What

Grade F · Defensive

Confidence Medium · Net Neutral

Why

Momentum96 · Δ7d -2.0

Value36 · Δ7d -0.1

Sentiment0 · Δ7d 0.0

So what

Weak posture (Net Neutral). Prioritize risk control and patience.

Lead driver: Momentum · See technicals

Momentum

26% active weight

Current posture

7d trendSoftening

Δ7d

-2.0

Δ21d

-1.8

Value

39% active weight

Current posture

7d trendFlat

Δ7d

-0.1

Δ21d

-0.0

Sentiment

34% active weight

Current posture

7d trendFlat

Δ7d

0.0

Δ21d

0.0

Why this grade

Composite grade F. Momentum 96.0 / Value 36.5 / Sentiment 0.0

Fundamentals (TTM)

As of 2026-07-22

Market Cap

$60.58M

Beta

1.75

Shares Out

54.14M

P/E (TTM) · Derived

-0.1

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

$21.81M

Current Ratio

0.06

As of 2026-07-22 • Updated nightlySource: Internal modelMethodology