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JACK

Jack in the BoxB
Nasdaq / Consumer Services
Last Price
At close
2026-07-22
View Chart
Current thesis
The constructive read is that Q2 showed a modest operating EPS beat versus secondary-source consensus, management said trends improved into Q3, and the new interim CEO is explicitly pushing same-store sales, margins, and debt reduction. Post-print reaction from coverage was not uniformly negative: StockAnalysis surfaced a Stifel Hold note with a target increase to $15 from $10.
Posture
Constructive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta +0.0.
What can break
Balance-sheet risk is still material because the company is managing note prepayments and refinancing against restrictive securitized debt terms flagged in the 10-K [#10-K-2025-11-19].
Momentum
88
Value
64
Sentiment
25
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $11.50 · Bull $15.00 · Bear $7.50
Data freshness
Prices
As of 2026-07-22
Fundamentals
As of 2026-07-21 • Vendor: Data Vendor v1
Scores
As of 2026-07-22 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-16 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-22
Supporting evidence
What
Grade B · Constructive
Confidence Medium · Net Neutral
Target $16.12
Why
Momentum88 · Δ7d +5.2
Value64 · Δ7d +0.0
Sentiment25 · Δ7d +1.7
So what
Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.
Lead driver: Value · See fundamentals
Momentum
88
26% active weight
Current posture
7d trendFlat
Δ7d
+5.2
Δ21d
+14.4
Value
64
39% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
+0.9
Sentiment
25
34% active weight
Current posture
7d trendImproving
Δ7d
+1.7
Δ21d
+2.7
Why this grade

Composite grade B. Momentum 87.9 / Value 64.2 / Sentiment 25.3

Fundamentals (TTM)
As of 2026-07-21
Market Cap
$282.48M
Beta
1.16
Shares Out
19.07M
P/E (TTM) · Derived
3.3
P/S (TTM)
0.24
P/FCF (TTM)
7.37
Rev YoY
-4.3%
EPS YoY
-107.1%
Gross Margin
+24.6%
Op Margin
-1.2%
Net Debt
$3.04B
Current Ratio
0.65
As of 2026-07-22 • Updated nightlySource: Internal modelMethodology