SJ
ScienjoyBNasdaq / Media & Entertainment
Last Price
At close
2026-07-20
Current thesis
The best bull read is that Q1 2026 returned to profitability, cash increased to RMB326.3 million, and management says the live-streaming platform remains a cash-generating unit that can support AI investment [#PR-EARNINGS-2026-05-21]. If paying-user trends stabilize, the stock could rerate from a depressed base.
Posture
Constructive
Lead driver
Momentum
What changed
Momentum remains the lead driver in the composite.
What can break
AI Vista Live and broader AI initiatives have not yet been tied to quantified revenue contribution, customer uptake, or unit economics in the provided primary evidence [#PR-EARNINGS-2026-05-21].
Momentum
89
Value
49
Sentiment
47
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $0.75 · Bull $1.40 · Bear $0.35
Data freshness
Prices
As of 2026-07-20
Fundamentals
As of 2026-07-20 • Vendor: Data Vendor v1
Scores
As of 2026-07-20 • Model: HYBRID_IC_RP
AI Memo
As of 2026-06-22 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-07-20
Investment thesis
As of 2026-07-20
Supporting evidence
What
Grade B · Constructive
Confidence Medium · Net Neutral
Target $2.00
Why
Momentum89 · Δ7d -
Value49 · Δ7d +0.1
Sentiment47 · Δ7d -
So what
Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.
Lead driver: Momentum · See technicals
Momentum
89
26% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
49
39% active weight
Current posture
7d trendFlat
Δ7d
+0.1
Δ21d
-0.8
Sentiment
47
34% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade
Composite grade B. Momentum 89.4 / Value 48.9 / Sentiment 47.4
Fundamentals (TTM)As of 2026-07-20
Fundamentals (TTM)
As of 2026-07-20
Market Cap
$32.7M
Beta
0.88
Shares Out
42.46M
P/E (TTM)
12.6
P/S (TTM)
0.17
P/FCF (TTM)
3.23
Rev YoY
-3.3%
EPS YoY
-201.7%
Gross Margin
+17.9%
Op Margin
+3.1%
Net Debt
-$43.21M
Current Ratio
3.45
As of 2026-07-20 • Updated nightlySource: Internal modelMethodology

