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IREN

IRENC
Nasdaq / Software & Services
Last Price
At close
2026-07-17
View Chart
Current thesis
The bull case is that IREN has moved beyond a generic AI narrative into a customer- and partner-backed buildout: the May filing cited a $3.4bn NVIDIA AI Cloud contract, a 5GW strategic partnership with NVIDIA, and $3.1bn ARR already under contract with a target of $3.7bn by end-CY26, which could support a sharper rerating if delivery stays on schedule [#SEC-8K-2026-05-08].
Posture
Mixed
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite, 7D delta +17.9.
What can break
Financing remains a central risk because the June agreements only partially fund GPU infrastructure and related Microsoft-contract costs, underscoring the capital intensity of the buildout [#8-K-2026-06-01].
Momentum
3
Value
44
Sentiment
94
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $50.00 · Bull $78.00 · Bear $28.00
Data freshness
Prices
As of 2026-07-17
Fundamentals
As of 2026-07-17 • Vendor: Data Vendor v1
Scores
As of 2026-07-17 • Model: HYBRID_IC_RP
AI Memo
As of 2026-06-26 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-17
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $83.79
Why
Momentum3 · Δ7d -2.3
Value44 · Δ7d +0.5
Sentiment94 · Δ7d +17.9
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Sentiment · See AI snapshot
Momentum
3
26% active weight
Current posture
7d trendFlat
Δ7d
-2.3
Δ21d
-87.3
Value
44
39% active weight
Current posture
7d trendFlat
Δ7d
+0.5
Δ21d
+1.0
Sentiment
94
34% active weight
Current posture
7d trendImproving
Δ7d
+17.9
Δ21d
+22.3
Why this grade

Composite grade C. Momentum 3.4 / Value 44.0 / Sentiment 93.5

Fundamentals (TTM)
As of 2026-07-17
Market Cap
$12B
Beta
4.26
Shares Out
356.86M
P/E (TTM)
27.9
P/S (TTM)
20.22
P/FCF (TTM) · Derived
-7.69
Rev YoY
+10.7%
EPS YoY
+1014.5%
Gross Margin
+19.1%
Op Margin
-0.4%
Net Debt
$261.95M
Current Ratio
3.72
As of 2026-07-17 • Updated nightlySource: Internal modelMethodology