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Cactus, Inc (WHD) Fair Value & Analysis

Energy · US · Market cap $4.1B

Price$52.84
Fair Value$33.48
Upside-36.6%
Quality80/100
Evidence: Medium Range $25.11 – $41.85

Analysis

Cactus, Inc (WHD) currently trades at $52.84, while our model-based Fair Value estimate is $33.48 — implying the stock looks roughly 36.6% overvalued today. We read business quality at 80/100 (high quality), in the Energy sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).

About the company

Cactus, Inc., together with its subsidiaries, designs, manufactures, sells, and rents engineered pressure control and spoolable pipe technologies in the United States, Australia, Canada, the Middle East, and internationally. The company operates in two segments: Pressure Control and Spoolable Technologies. The Pressure Control segment designs, manufactures, sells, and rents a range of wellheads and pressure control equipment under the Cactus Wellhead brand through its service centers. Its products are sold and rented primarily for onshore unconventional oil and gas wells for drilling, completion, and production phases. This segment also offers field services for its products and rental items to assist with the installation, maintenance, and handling of the equipment. The Spoolable Technologies segment designs, manufactures, and sells spoolable pipes and associated end fittings under the FlexSteel brand. Its products are primarily used in production, gathering, and takeaway pipelines…

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How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.