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CARG

CarGurusD
Nasdaq / Media & Entertainment
Last Price
At close
2026-06-02
View Chart
Current thesis
The bull case is that Q1 showed the core marketplace still growing cleanly: revenue was at the midpoint of guidance, adjusted EBITDA beat the high end, paying dealers rose 7% year over year, QARSD rose 8%, and aggressive buybacks continue to shrink share count. If investors conclude the roughly 9% post-print drop already prices in 2026 margin pressure, the setup can improve quickly on any clean Q2 follow-through.
Posture
Defensive
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite, 7D delta -2.5.
What can break
2026 guidance still calls for 1.5 to 2.5 points of adjusted EBITDA margin compression even after a solid Q1, so execution must stay strong to prevent estimate pressure.
Momentum
5
Value
60
Sentiment
71
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $35.00 · Bull $41.00 · Bear $30.00
Data freshness
Prices
As of 2026-06-02
Fundamentals
As of 2026-06-01 • Vendor: Data Vendor v1
Scores
As of 2026-06-02 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-09 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Neutral
Target $36.13
Why
Momentum5 · Δ7d -6.8
Value60 · Δ7d -0.6
Sentiment71 · Δ7d -2.5
So what
Weak posture (Net Neutral). Prioritize risk control and patience.
Lead driver: Sentiment · See AI snapshot
Momentum
5
34% active weight
Current posture
7d trendSoftening
Δ7d
-6.8
Δ21d
-57.0
Value
60
32% active weight
Current posture
7d trendFlat
Δ7d
-0.6
Δ21d
+1.2
Sentiment
71
33% active weight
Current posture
7d trendSoftening
Δ7d
-2.5
Δ21d
+18.3
Why this grade

Composite grade D. Momentum 5.4 / Value 59.8 / Sentiment 71.4

Fundamentals (TTM)
As of 2026-06-01
Market Cap
$2.68B
Beta
1.35
Shares Out
95.45M
P/E (TTM)
26.0
P/S (TTM)
3.90
P/FCF (TTM)
14.36
Rev YoY
+3.2%
EPS YoY
+109.3%
Gross Margin
+88.1%
Op Margin
+19.3%
Net Debt
-$304.19M
Current Ratio
2.87
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology