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UBER

UberC
NYSE / Transportation
Last Price
Quote time unavailable
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Current thesis
Composite grade C from latest DB weights. Momentum 66.1 / Value 53.5
Posture
Mixed
Lead driver
Value
What changed
1 setup hits (3d) with net bearish as of 2026-09-10.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
66
Value
53
Sentiment
N/A
Setup hits (3d)
1 · Net Bearish
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 2026-09-10 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
Investment thesis
As of 2026-09-10

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-09-10. Definitions

Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Bearish
Target $101.52
Why
Momentum66 · Δ7d -26.1
Value53 · Δ7d 0.0
SentimentN/A · Δ7d -
So what
Balanced signals (Net Bearish). Wait for confirmation before sizing up.

Confirming evidence

  • 1 setup hits (3d) with net bearish as of 2026-09-10.
  • 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
66
25% active weight
Current posture
7d trendSoftening
Δ7d
-26.1
Δ21d
-6.6
Value
53
75% active weight
Current posture
7d trendFlat
Δ7d
0.0
Δ21d
+1.8
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade C. Momentum 66.1 / Value 53.5

Fundamentals (TTM)
As of 2026-08-17
Market Cap
$153.17B
Beta
1.21
Shares Out
2.04B
P/E (TTM)
10.3
P/S (TTM)
3.38
P/FCF (TTM)
19.37
Rev YoY
+12.2%
EPS YoY
+85.1%
Gross Margin
+35.4%
Op Margin
+13.3%
Net Debt
$4.04B
Current Ratio
0.84
As of 2026-09-10 • Updated nightlySource: Internal modelMethods & Data