Par Pacific Holdings (PARR) Fair Value & Analysis
Energy · US · Market cap $2.8B
Analysis
Par Pacific Holdings (PARR) currently trades at $51.26, while our model-based Fair Value estimate is $103.13 — implying the stock looks roughly 101.2% undervalued today. We read business quality at 94/100 (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: high) — always confirm before acting.
About the company
Par Pacific Holdings, Inc., an energy company, provides renewable and conventional fuels in the United States. The company operates through three segments: Refining, Retail, and Logistics. The Refining segment owns and operates refineries that convert crude oil into gasoline, distillate, asphalt, and other products. The Retail segment operates convenience stores and fuel retail outlets that sell gasoline, diesel, and retail merchandise, such as soft drinks, prepared food, and other sundries under the Hele, 76, and nomnom brands, as well as unattended cardlock stations. The Logistics segment owns and operates terminals, pipelines, trucking operations, marine vessels, storage facilities, loading and truck racks, and rail facilities for the movement of ethanol, petroleum, and refined products; and a jet fuel storage facility and pipeline that serves Ellsworth Air Force Base in South Dakota. The company also holds interest in crude storage tanks and a crude oil pipeline that provides ac…
Open the full interactive analysis →
Similar stocks
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.