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SNEX

StoneX GroupA
Nasdaq / Financial Services
Last Price
At close
2026-07-17
View Chart
Current thesis
The primary-source bull case is that StoneX has reset earnings power higher after a record fiscal Q2: net operating revenues rose 70% year over year to $829.1 million, net income rose 143% to $174.3 million, and all four operating segments contributed, while management said R.J. O'Brien integration remains on track and targeted synergies remain achievable [#SEC-8K-2026-05-06].
Posture
Constructive
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite, 7D delta +5.4.
What can break
Bad debts increased materially in the first half of fiscal 2026, including exposures tied to the Commercial segment, highlighting counterparty and client receivable risk.
Momentum
67
Value
51
Sentiment
85
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $118.00 · Bull $132.00 · Bear $96.00
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 2026-06-30 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-17
Supporting evidence
What
Grade A · Constructive
Confidence Medium · Net Neutral
Target $123.00
Why
Momentum67 · Δ7d -20.3
Value51 · Δ7d -2.4
Sentiment85 · Δ7d +5.4
So what
Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.
Lead driver: Sentiment · See AI snapshot
Momentum
67
26% active weight
Current posture
7d trendSoftening
Δ7d
-20.3
Δ21d
-28.5
Value
51
39% active weight
Current posture
7d trendSoftening
Δ7d
-2.4
Δ21d
+3.4
Sentiment
85
34% active weight
Current posture
7d trendImproving
Δ7d
+5.4
Δ21d
+9.8
Why this grade

Composite grade A. Momentum 67.1 / Value 50.8 / Sentiment 84.7

Fundamentals (TTM)
As of 2026-07-17
Market Cap
$12.24B
Beta
0.44
Shares Out
79.25M
P/E (TTM)
17.2
P/S (TTM)
0.04
P/FCF (TTM)
1.23
Rev YoY
+24.0%
EPS YoY
+120.7%
Gross Margin
+2.8%
Op Margin
+0.3%
Net Debt
$14.1B
Current Ratio
0.79
As of 2026-07-17 • Updated nightlySource: Internal modelMethodology