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SJ

ScienjoyB
Nasdaq / Media & Entertainment
Last Price
At close
2026-06-02
View Chart
Current thesis
Bullish interpretation is limited to technical and optionality points: Nasdaq compliance removed one listing overhang, FY2025 cash ended at RMB307.7 million, and management still frames major FY2025 charges as non-cash while pursuing AI streamer deployment. These are monitoring positives, not enough to offset the need for proof of stabilized users, revenue, collections, and monetization [#PR-2026-04-23][#PR-2026-02-03][#PR-2026-01-28].
Posture
Constructive
Lead driver
Momentum
What changed
Next scheduled catalyst: earnings 2026-06-04.
What can break
AI deployment may stay narrative-only if it does not translate into monetization, retention, or margin improvement
Momentum
89
Value
62
Sentiment
28
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $0.92 · Bull $1.35 · Bear $0.40
Earnings
2026-06-04
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 2026-05-19 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade B · Constructive
Confidence Medium · Net Neutral
Target $4.00
Why
Momentum89 · Δ7d -
Value62 · Δ7d -1.6
Sentiment28 · Δ7d -
So what
Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.
Lead driver: Momentum · See technicals
Momentum
89
34% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
62
32% active weight
Current posture
7d trendSoftening
Δ7d
-1.6
Δ21d
-2.0
Sentiment
28
33% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade B. Momentum 89.4 / Value 61.7 / Sentiment 27.6

Fundamentals (TTM)
As of 2026-06-01
Market Cap
$46.71M
Beta
0.88
Shares Out
42.34M
P/E (TTM)
12.6
P/S (TTM)
0.17
P/FCF (TTM)
3.23
Rev YoY
-5.8%
EPS YoY
+767.7%
Gross Margin
+18.6%
Op Margin
+3.1%
Net Debt
-$40.33M
Current Ratio
4.64
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology