CCLD
CareCloudANasdaq / Health Care Equipment & Services
Last Price
At close
2026-07-18
Current thesis
The post-earnings bull read is straightforward: Q1 revenue grew 13% year over year, guidance was reaffirmed, the company said the $50 million facility supports full Series B redemption, and management framed Medsphere integration costs as largely temporary. Third-party post-print coverage also indicated revenue came in modestly above consensus, even though coverage remains thin.
Posture
Constructive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta +0.1.
What can break
AI launches and inpatient expansion are promising, but the revenue and margin contribution still needs proof beyond management commentary.
Momentum
39
Value
72
Sentiment
62
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $2.60 · Bull $3.80 · Bear $1.60
Data freshness
Prices
As of 2026-07-18
Fundamentals
As of 2026-07-17 • Vendor: Data Vendor v1
Scores
As of 2026-07-18 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-09 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-07-18
Investment thesis
As of 2026-07-18
Supporting evidence
What
Grade A · Constructive
Confidence Medium · Net Neutral
Target $6.13
Why
Momentum39 · Δ7d -21.9
Value72 · Δ7d +0.1
Sentiment62 · Δ7d +10.4
So what
Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.
Lead driver: Value · See fundamentals
Momentum
39
26% active weight
Current posture
7d trendSoftening
Δ7d
-21.9
Δ21d
-
Value
72
39% active weight
Current posture
7d trendFlat
Δ7d
+0.1
Δ21d
+0.0
Sentiment
62
34% active weight
Current posture
7d trendImproving
Δ7d
+10.4
Δ21d
-
Why this grade
Composite grade A. Momentum 39.1 / Value 72.0 / Sentiment 62.0
Fundamentals (TTM)As of 2026-07-17
Fundamentals (TTM)
As of 2026-07-17
Market Cap
$98.58M
Beta
2.05
Shares Out
42.49M
P/E (TTM)
73.9
P/S (TTM)
1.12
P/FCF (TTM)
9.91
Rev YoY
+13.2%
EPS YoY
-71.3%
Gross Margin
+34.3%
Op Margin
+10.2%
Net Debt
$666K
Current Ratio
1.11
As of 2026-07-18 • Updated nightlySource: Internal modelMethodology