ARQQ

Arqit QuantumB

Nasdaq / Software & Services

At close

2026-07-21

Current thesis

The best pro-ARQQ read is that H1 FY2026 finally showed measurable contract conversion, broader partner activity, and a potentially more saleable Encryption Intelligence entry point, giving the story a clearer commercial wedge than in prior periods [#PR-2026-05-21].

Posture

Constructive

Lead driver

Sentiment

What changed

Sentiment remains the lead driver in the composite, 7D delta +1.2.

What can break

Cash burn remains meaningful relative to revenue scale; Arqit reported only $623,000 of H1 FY2026 revenue while operating costs averaged $2.6 million per month excluding specified legal expenses [#PR-2026-05-21].

Momentum

Value

Sentiment

Setup hits (3d)

0 · Net Neutral

AI TargetsBase $21.00 · Bull $30.00 · Bear $12.00

Data freshness

Prices

As of 2026-07-21

Fundamentals

As of 2026-07-20 • Vendor: Data Vendor v1

Scores

As of 2026-07-21 • Model: HYBRID_IC_RP

AI Memo

As of 2026-07-08 • Model: RankAlpha Sentiment Codex

Investment thesis

As of 2026-07-21

Supporting evidence

What

Grade B · Constructive

Confidence Medium · Net Neutral

Target $60.00

Why

Momentum84 · Δ7d -11.5

Value35 · Δ7d +0.0

Sentiment67 · Δ7d +1.2

So what

Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.

Lead driver: Sentiment · See AI snapshot

Momentum

26% active weight

Current posture

7d trendSoftening

Δ7d

-11.5

Δ21d

-13.5

Value

39% active weight

Current posture

7d trendFlat

Δ7d

+0.0

Δ21d

+0.1

Sentiment

34% active weight

Current posture

7d trendImproving

Δ7d

+1.2

Δ21d

+18.8

Why this grade

Composite grade B. Momentum 84.3 / Value 35.3 / Sentiment 66.6

Fundamentals (TTM)

As of 2026-07-20

Market Cap

$299.5M

Beta

2.40

Shares Out

17.4M

P/E (TTM) · Derived

-4.0

P/S (TTM)

823.35

P/FCF (TTM) · Derived

-6.62

Rev YoY

+166.1%

EPS YoY

+43.7%

Gross Margin

+9.3%

Op Margin

-7271.5%

Net Debt

-$36.26M

Current Ratio

4.88

As of 2026-07-21 • Updated nightlySource: Internal modelMethodology