LIN
AI Execution Plan
Linde expanding air separation facility in North Carolina; Citi raised price target to $580 from $545 (Apr 13, 2026); UBS and JPMorgan upgrades; strong execution but valuation concerns noted; positive analyst sentiment.
Positive short and long-term trends; trading near 52-week high; above key moving averages (20-day EMA ~$494.92); buy signals from oscillators and summaries on TradingView and Barchart.
3-Month AI Outlook
Bullish; analyst consensus price target ~$523-$530 (high $580), driven by operational expansions, positive technicals, and upgrades; potential upside to $530+.
Option Chain
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Earnings History: LIN
Linde Reports Strong Second-Quarter 2025 Financials
Aug 1, 2025In the second quarter of 2025, Linde plc reported a net income of $1,766 million and diluted earnings per share (EPS) of $3.73, reflecting increases of 6% and 8%, respectively. The company also disclosed sales of $8,495 million for the quarter, marking a 3% rise compared to the previous year. Operating profit for the quarter was $2,354 million, while the adjusted operating profit increased to $2,556 million, representing a 6% growth year-over-year. The adjusted operating profit margin improved to 30.1%, which is 80 basis points higher than the same period last year. Linde's operating cash flow reached $2,211 million, a 15% increase from the prior year. After accounting for capital expenditures of $1,257 million, the free cash flow stood at $954 million. The company returned $1,811 million to shareholders through dividends and stock buybacks during the quarter. Additionally, Linde's project backlog now totals $7.1 billion, which includes new long-term agreements to supply gases to a low-carbon ammonia facility in the U.S. Linde anticipates adjusted diluted EPS for the third quarter to be between $4.10 and $4.20, and for the full year, it expects EPS in the range of $16.30 to $16.50, representing a growth of 5% to 6% year-over-year.
Earnings Release (Confirmed)
Apr 30, 2026HIGH
Strategy Overview
Jason Wheel is a systematic, AI‑enhanced trading framework built on probability theory and volatility‑based edge extraction. Designed for the US options market, the system focuses on constructing high‑probability Credit Spread strategies that capture Theta decay while maintaining strict quantitative risk controls to mitigate tail events and support long‑term, stable capital growth.
Rather than relying on directional speculation, the system operates as a closed‑loop asset engine integrating: Macro Risk Control, Multi-dimensional Quantitative Screening, AI-Assisted Decision Making, and Dynamic Position Management.
This architecture enables consistent, rules‑driven execution with an emphasis on risk‑adjusted returns.
Connect with Jason
- Substack: jasonwheel.substack.com
- Email: [email protected]