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KMDA

KamadaB
Nasdaq / Pharmaceuticals, Biotechnology & Life Sciences
Last Price
At close
2026-07-20
View Chart
Current thesis
Primary-source evidence improved after earnings: Q1 revenue grew 3% to $45.2M, net income rose 4% to $4.1M, the delayed order was delivered in April, and management reaffirmed 2026 guidance while pointing to rising demand for KEDRAB, KAMRAB and VARIZIG, plasma-center ramp potential, biosimilar launches and possible business-development activity [#PR-2026-05-13].
Posture
Constructive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta -0.1.
What can break
Analyst coverage appears thin, and post-earnings revision data is not available in the packet, lowering confidence in any target-based upside signal.
Momentum
28
Value
65
Sentiment
69
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $8.80 · Bull $11.50 · Bear $6.40
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 2026-05-16 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-20
Supporting evidence
What
Grade B · Constructive
Confidence Medium · Net Neutral
Target $13.00
Why
Momentum28 · Δ7d -
Value65 · Δ7d -0.1
Sentiment69 · Δ7d -
So what
Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.
Lead driver: Value · See fundamentals
Momentum
28
26% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
65
39% active weight
Current posture
7d trendFlat
Δ7d
-0.1
Δ21d
-0.1
Sentiment
69
34% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade B. Momentum 28.1 / Value 65.1 / Sentiment 68.8

Fundamentals (TTM)
As of 2026-07-20
Market Cap
$411.56M
Beta
0.94
Shares Out
57.69M
P/E (TTM)
20.6
P/S (TTM)
2.39
P/FCF (TTM)
22.79
Rev YoY
+2.8%
EPS YoY
+3.9%
Gross Margin
+41.2%
Op Margin
+15.9%
Net Debt
-$63.91M
Current Ratio
3.33
As of 2026-07-20 • Updated nightlySource: Internal modelMethodology