Atlas Energy Solutions Inc (AESI) Fair Value & Analysis
Energy · US · Market cap $2.3B
Analysis
Atlas Energy Solutions Inc (AESI) currently trades at $16.41, while our model-based Fair Value estimate is $17.42 — implying the stock looks roughly 6.2% undervalued today. We read business quality at 95/100 (high quality), in the Energy sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Atlas Energy Solutions Inc. produces proppants and provides logistics and distributed power solutions in the Permian Basin of West Texas and New Mexico. It operates through two segments: Sand and Logistics, and Power. The Sand and Logistics segment operates fourteen proppant production facilities, including large-scale in-basin plants and a distributed mining network. This segment sells products and services primarily to oil and natural gas exploration and production companies, hydraulic fracturing services, and oilfield services companies; and produces locally sourced proppants, such as 40/70-mesh and 100-mesh sand, as well as both dry and damp sand options. It also offers a differentiated logistics platform featuring a fleet of fit-for-purpose trucks, trailers, wellsite equipment, and a 42-mile Dune Express conveyor system for proppant delivery. The Power segment provides distributed power solutions through a fleet of natural gas-powered reciprocating generators designed for heavy…
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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.