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RIOT

Riot PlatformsC
Nasdaq / Software & Services
Last Price
At close
2026-06-02
View Chart
Current thesis
The post-earnings bull read is that Q1 marked Riot's first meaningful proof point as a revenue-generating data-center operator: $33.2 million of Data Center revenue arrived immediately, AMD doubled contracted capacity to 50 MW, and available secondary post-print research appeared constructive, including a reported Cantor Fitzgerald target increase to $23 and a Compass Point Buy reiteration at $29.
Posture
Mixed
Lead driver
Momentum
What changed
6 setup hits (3d) with net bullish as of 2026-06-02.
What can break
Bitcoin mining economics remain exposed to bitcoin price, mining difficulty, and further increases in global network hash rate, which already pressured Q1 mining revenue and production mix.
Momentum
96
Value
40
Sentiment
26
Setup hits (3d)
6 · Net Bullish
AI TargetsBase $21.00 · Bull $28.00 · Bear $13.00
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 2026-05-03 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Bullish
Target $26.81
Why
Momentum96 · Δ7d +0.7
Value40 · Δ7d 0.0
Sentiment26 · Δ7d -9.2
So what
Balanced signals (Net Bullish). Wait for confirmation before sizing up.
Lead driver: Momentum · See technicals
Momentum
96
34% active weight
Current posture
7d trendFlat
Δ7d
+0.7
Δ21d
+0.3
Value
40
32% active weight
Current posture
7d trendFlat
Δ7d
0.0
Δ21d
+0.1
Sentiment
26
33% active weight
Current posture
7d trendSoftening
Δ7d
-9.2
Δ21d
-2.1
Why this grade

Composite grade C. Momentum 96.3 / Value 39.9 / Sentiment 25.6

Fundamentals (TTM)
As of 2026-06-01
Market Cap
$10.68B
Beta
3.72
Shares Out
371.81M
P/E (TTM)
69.6
P/S (TTM)
9.49
P/FCF (TTM) · Derived
-14.39
Rev YoY
+112.6%
EPS YoY
+148.1%
Gross Margin
+39.5%
Op Margin
+39.3%
Net Debt
$172.5M
Current Ratio
1.47
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology