AHCO
AdaptHealthCNasdaq / Health Care Equipment & Services
Last Price
At close
2026-07-18
Current thesis
The best-supported bullish interpretation is that Q1 proved demand and onboarding strength even in a messy transition: revenue rose to $819.8 million, organic growth was 9.1%, and full-year revenue guidance was raised to $3.45-$3.52 billion while EBITDA and free-cash-flow guidance were maintained. The April refinancing and planned August note redemption also support a cleaner balance-sheet narrative.
Posture
Mixed
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta +0.0.
What can break
Elevated onboarding labor costs from the new strategic partner may take longer than expected to normalize, delaying margin recovery.
Momentum
25
Value
69
Sentiment
59
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $12.50 · Bull $15.50 · Bear $8.50
Data freshness
Prices
As of 2026-07-18
Fundamentals
As of 2026-07-20 • Vendor: Data Vendor v1
Scores
As of 2026-07-18 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-15 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-07-18
Investment thesis
As of 2026-07-18
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $13.63
Why
Momentum25 · Δ7d +15.6
Value69 · Δ7d +0.0
Sentiment59 · Δ7d -11.5
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Value · See fundamentals
Momentum
25
26% active weight
Current posture
7d trendImproving
Δ7d
+15.6
Δ21d
+22.3
Value
69
39% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
+0.2
Sentiment
59
34% active weight
Current posture
7d trendSoftening
Δ7d
-11.5
Δ21d
-8.0
Why this grade
Composite grade C. Momentum 25.2 / Value 68.7 / Sentiment 59.4
Fundamentals (TTM)As of 2026-07-20
Fundamentals (TTM)
As of 2026-07-20
Market Cap
$1.49B
Beta
1.73
Shares Out
136.05M
P/E (TTM)
17.6
P/S (TTM)
0.41
P/FCF (TTM)
6.21
Rev YoY
+5.4%
EPS YoY
+120.7%
Gross Margin
+17.0%
Op Margin
+8.0%
Net Debt
$1.8B
Current Ratio
0.92
As of 2026-07-18 • Updated nightlySource: Internal modelMethodology