MOLFF Fair Value & Analysis

Energy · US · Market cap $6.7B

A solid business, screening 142% undervalued on our models.

What matters now

• The price is below even our cautious bear case ($15.37). The market is more pessimistic than our downside scenario.
• Solid quality (55/100) at a price below fair value, the discount is the argument here, not the business quality.

Price vs Fair Value (5 years)

White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 25, 2026.

How to read this chart

60‑month range $5.72 – $74.38 · fair‑value band $15.37 – $25.69 · the $8.50 price screens below the $20.55 fair value. Dashed = 300-day average. As of Jul 25, 2026.

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Analysis

MOLFF (MOLFF) currently trades at $8.50, while our model-based Fair Value estimate is $20.55, implying the stock looks roughly 141.8% undervalued today. The Quality Score stands at 55/100 (solid 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.

Over the trailing twelve months, MOLFF generated revenue of $8.9T at a net margin of 2.2%. Revenue declined 7.1% year over year. It earns a return on equity of 4.7%. Net debt stands at $447B. Fundamentals as of Jul 25, 2026

Our scenario range runs from $15.37 (bear case) to $25.69 (bull case); at $8.50, the current price sits below that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades about 22% below its 52-week high and 16% above its 52-week low, currently above its 200-day average. For context, the median of 10 Energy peers we cover trades at -48% fair-value upside, at 142%, MOLFF screens cheaper than that median.

Fair Value models

Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.

Widest divergence: Growth DCF ($21.45) versus Earnings-Based ($10.68). Highest evidence: Growth DCF (80).

Key figures & financial health

Quality Score breakdown

About the company

MOL Magyar Olaj- és Gázipari Nyilvánosan Muködo Részvénytársaság, together with its subsidiaries, operates as an integrated oil and gas company in Hungary and internationally. The company offers MOL EVO fuel products; operates convenience store under the Fresh Corner brand; and provides e-charging solutions.

Full company description

MOL Magyar Olaj- és Gázipari Nyilvánosan Muködo Részvénytársaság, together with its subsidiaries, operates as an integrated oil and gas company in Hungary and internationally. The company offers MOL EVO fuel products; operates convenience store under the Fresh Corner brand; and provides e-charging solutions. It also provides lubricants and autochemicals; gasoline, diesel, heating oil, and bunker diesel; JET A-1 aviation fuel; liquefied petroleum gas, including butanes, propane-butane mix, autogas, propane; petrochemicals; black products, such as bitumen, HFO, petrolcoke, and liquid sulphur, as well as other crude processing/petchem residues, including fcc residue, c9+, and pyrooil; and base oil, waxes, and finished lubricants. In addition, the company is involved in the provision of retail services, which operates service stations under the MOL, Slovnaft, INA, Tifon, and Energopetrol brands; mobility solutions comprising e-mobility, car sharing, bike sharing, fleet management services; oilfield chemicals and technologies business; and oilfield services, such as drilling, workover, pressure pumping, cementing and stimulation, coiled tubing and nitrogen, tubular handling, well test, slickline, wireline mud logging, and seismic data processing service lines. Further, it engages in the provision of digital factory services, including data science, master data management, loyalty, customer relationship management, campaign management, API integration, omnichannel and payment; and natural gas transmission business. Additionally, the company produces, supplies, and treats water; fire and ambulance services; investment management; engineering activity and consultancy; hydrocarbon exploration; trading of oil products; financial services; exploration financing; private security; accounting; bookkeeping and auditing; tax consultancy; and computer facilities management activities. The company was incorporated in 1991 and is headquartered in Budapest, Hungary.

Company description, as reported by the company or data provider.

Revenue & earnings trend

FY2021 – FY2025 · reported fiscal years

MOLFF reported revenue of $8.7T in FY2025 versus $5.8T in FY2021, a compound +10.8%/yr. Reported net income was $298B in FY2025, compounding −13.3%/yr from FY2021.

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Peer Group

Oil & Gas Refining & Marketing · 114 stocks

How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.

Valuation Multiples vs Oil & Gas Refining & Marketing median · lower = cheaper

Snowflake

Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.

Insider activity: 38/100

Values & ESG

Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.

ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.

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Frequently asked questions

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.