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IONQ

IonQF
NYSE / Technology Hardware & Equipment
Last Price
At close
2026-07-20
View Chart
Current thesis
The bull case is that Q1 materially strengthened the commercial narrative: record revenue, raised FY2026 guidance, 554% year-over-year RPO growth to $470 million, and evidence that systems, networking, sensing, and security are becoming a broader platform sale rather than a single-product story [#8-K-2026-05-06] [#10-Q-2026-05-07].
Posture
Defensive
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite, 7D delta +19.8.
What can break
About half of the $470 million remaining performance obligations are expected beyond the next twelve months, and the disclosed RPO includes unfunded orders, which creates timing risk around conversion [#10-Q-2026-05-07].
Momentum
6
Value
34
Sentiment
61
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $44.00 · Bull $58.00 · Bear $32.00
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 2026-05-08 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-20
Supporting evidence
What
Grade F · Defensive
Confidence Medium · Net Neutral
Target $71.32
Why
Momentum6 · Δ7d -4.2
Value34 · Δ7d -0.0
Sentiment61 · Δ7d +19.8
So what
Weak posture (Net Neutral). Prioritize risk control and patience.
Lead driver: Sentiment · See AI snapshot
Momentum
6
26% active weight
Current posture
7d trendSoftening
Δ7d
-4.2
Δ21d
-78.6
Value
34
39% active weight
Current posture
7d trendFlat
Δ7d
-0.0
Δ21d
+0.0
Sentiment
61
34% active weight
Current posture
7d trendImproving
Δ7d
+19.8
Δ21d
+35.3
Why this grade

Composite grade F. Momentum 5.5 / Value 34.4 / Sentiment 60.8

Fundamentals (TTM)
As of 2026-07-20
Market Cap
$12.78B
Beta
2.63
Shares Out
373.27M
P/E (TTM) · Derived
-18.8
P/S (TTM)
216.16
P/FCF (TTM) · Derived
-22.22
Rev YoY
+754.7%
EPS YoY
-1570.1%
Gross Margin
-28.8%
Op Margin
-604.5%
Net Debt
-$2.36B
Current Ratio
14.05
As of 2026-07-20 • Updated nightlySource: Internal modelMethodology