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KTCC

Key TronicC
Nasdaq / Technology Hardware & Equipment
Last Price
At close
2026-07-21
View Chart
Current thesis
The best post-print read is that KTCC is finally showing operating leverage despite lower revenue: margins improved, operating cash generation stayed positive, debt is down year over year, and management now expects Q4 revenue growth, a gradual rebound, and a return to profitability if new programs and legacy demand stabilize.
Posture
Mixed
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta -0.0.
What can break
Backlog had already fallen to about $139.1 million at 2025-12-27 from about $159.1 million at 2025-06-28 and $162.5 million a year earlier, showing that the demand hole pre-dated this earnings print. [#10-Q-2026-02-09] [#10-K-2025-09-17]
Momentum
68
Value
58
Sentiment
37
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $3.40 · Bull $4.25 · Bear $2.40
Data freshness
Prices
As of 2026-07-21
Fundamentals
As of 2026-07-21 • Vendor: Data Vendor v1
Scores
As of 2026-07-21 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-08 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-21
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Why
Momentum68 · Δ7d -
Value58 · Δ7d -0.0
Sentiment37 · Δ7d -
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Value · See fundamentals
Momentum
68
26% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
58
39% active weight
Current posture
7d trendFlat
Δ7d
-0.0
Δ21d
-0.3
Sentiment
37
34% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade C. Momentum 68.4 / Value 57.8 / Sentiment 36.6

Fundamentals (TTM)
As of 2026-07-21
Market Cap
$41.7M
Beta
1.15
Shares Out
10.86M
P/E (TTM) · Derived
-5.0
P/S (TTM)
0.07
P/FCF (TTM)
3.12
Rev YoY
-20.0%
EPS YoY
+330.8%
Gross Margin
+6.0%
Op Margin
-1.0%
Net Debt
$117.08M
Current Ratio
2.06
As of 2026-07-21 • Updated nightlySource: Internal modelMethodology