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PINS

PinterestC
NYSE / Media & Entertainment
Last Price
At close
2026-06-02
View Chart
Current thesis
The bull case is that Q1 confirms Pinterest is sustaining double-digit user growth while finally pushing monetization harder: revenue exceeded $1 billion, Q2 guidance still implies mid-teens growth, and AI/performance ads are showing measurable adoption. That combination can justify a continued post-earnings re-rate if Q2 execution lands near the upper half of guide.
Posture
Mixed
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite, 7D delta -8.7.
What can break
Cash and cash equivalents fell sharply quarter over quarter and the balance sheet now includes roughly $980 million of convertible notes, reflecting the aggressive capital return and Elliott-linked financing structure.
Momentum
30
Value
53
Sentiment
73
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $24.00 · Bull $27.00 · Bear $17.50
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 2026-05-07 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $23.37
Why
Momentum30 · Δ7d -3.4
Value53 · Δ7d -1.0
Sentiment73 · Δ7d -8.7
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Sentiment · See AI snapshot
Momentum
30
34% active weight
Current posture
7d trendFlat
Δ7d
-3.4
Δ21d
-8.4
Value
53
32% active weight
Current posture
7d trendFlat
Δ7d
-1.0
Δ21d
+0.0
Sentiment
73
33% active weight
Current posture
7d trendSoftening
Δ7d
-8.7
Δ21d
+5.2
Why this grade

Composite grade C. Momentum 30.0 / Value 53.3 / Sentiment 72.7

Fundamentals (TTM)
As of 2026-06-02
Market Cap
$11.69B
Beta
0.92
Shares Out
675.56M
P/E (TTM)
10.1
P/S (TTM)
4.41
P/FCF (TTM)
15.96
Rev YoY
+16.8%
EPS YoY
+276.8%
Gross Margin
+80.0%
Op Margin
+6.9%
Net Debt
-$2.51B
Current Ratio
8.36
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology