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LPX

Louisiana-PacificD
NYSE / Materials
Last Price
At close
2026-06-02
View Chart
Current thesis
The bull case is that the earnings miss-vs-prior-year was already known by the market, while the company still delivered results at or above guided ranges, held roughly $900 million of liquidity, and kept full-year EBITDA guidance intact despite a volatile housing and OSB backdrop. The median target in the packet remains well above the May 7 anchor price, but analyst-count visibility is incomplete.
Posture
Defensive
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite, 7D delta -3.2.
What can break
OSB remains the biggest swing factor: Q2 and FY2026 OSB EBITDA guidance assumes Random Lengths prices stay at May 1, 2026 levels, so further price erosion would pressure earnings. [#8-K-2026-05-06]
Momentum
18
Value
55
Sentiment
59
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $84.00 · Bull $95.00 · Bear $62.00
Data freshness
Prices
As of 2026-06-02
Fundamentals
As of 2026-06-02 • Vendor: Data Vendor v1
Scores
As of 2026-06-02 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-08 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Neutral
Target $101.50
Why
Momentum18 · Δ7d -3.2
Value55 · Δ7d -0.6
Sentiment59 · Δ7d -3.2
So what
Weak posture (Net Neutral). Prioritize risk control and patience.
Lead driver: Sentiment · See AI snapshot
Momentum
18
34% active weight
Current posture
7d trendFlat
Δ7d
-3.2
Δ21d
+3.8
Value
55
32% active weight
Current posture
7d trendFlat
Δ7d
-0.6
Δ21d
-0.8
Sentiment
59
33% active weight
Current posture
7d trendSoftening
Δ7d
-3.2
Δ21d
+6.0
Why this grade

Composite grade D. Momentum 17.7 / Value 55.0 / Sentiment 59.4

Fundamentals (TTM)
As of 2026-06-02
Market Cap
$5.16B
Beta
1.81
Shares Out
69.64M
P/E (TTM)
27.3
P/S (TTM)
2.07
P/FCF (TTM)
87.20
Rev YoY
-8.2%
EPS YoY
-89.9%
Gross Margin
+23.6%
Op Margin
+10.4%
Net Debt
$8M
Current Ratio
2.93
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology