Plug Power Inc (PLUG) Fair Value & Analysis
Industrials · US · Market cap $5.0B
Analysis
Plug Power Inc (PLUG) currently trades at $2.71, while our model-based Fair Value estimate is $3.15 — implying the stock looks roughly 16.2% undervalued today. We read business quality at 94/100 (high quality), in the Industrials 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
Plug Power Inc. designs, develops, and sells hydrogen products and solutions in Europe, Australia, North America, and internationally. The company offers GenDrive, a hydrogen fueled PEM fuel cell system, which powers material handling EVs, including Class 1, 2, 3 and 6 electric forklifts, automated guided vehicles, and ground support equipment; GenFuel, a liquid hydrogen fueling, delivery, generation, storage, and dispensing system; and GenCare, an Internet of Things based maintenance and on-site service program. It also provides GenKey, a turn-key solution; GenEco electrolyzers for clean hydrogen production; liquefaction systems; cryogenic equipment, such as trailers and mobile storage equipment for the distribution of liquified hydrogen, oxygen, argon, nitrogen, and other cryogenic gases; GenSure, a stationary fuel cell solution; and liquid hydrogen. The company serves customers in material handling operations, fuel cell electric vehicle fleets, and stationary power applications t…
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.