National Energy Services Reunited Corp (NESR) Fair Value & Analysis
Energy · US · Market cap $2.4B
Analysis
National Energy Services Reunited Corp (NESR) currently trades at $25.07, while our model-based Fair Value estimate is $8.62 — implying the stock looks roughly 65.6% overvalued today. We read business quality at 95/100 (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: high).
About the company
National Energy Services Reunited Corp. provides oilfield services in the Middle East and North Africa. The company's Production Services segment offers hydraulic fracturing services; coiled tubing services, including nitrogen lifting, fishing, milling, clean-out, scale removal, and other well applications; stimulation and pumping services; primary and remedial cementing services; nitrogen services; filtration services, as well as frac tanks and pumping units; and pipeline and industrial services, such as water filling and hydro testing, nitrogen purging, and de-gassing and pressure testing, as well as cutting/welding and cooling down piping/vessels systems. This segment also provides production assurance chemicals; integrated production management projects; artificial lift services; and surface and subsurface safety systems, high-pressure packer systems, flow controls, service tools, expandable liner technology, vacuum insulated tubing technology for steam applications, and enginee…
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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.