Tigo Energy, Inc (TYGO) Fair Value & Analysis
Technology · US · Market cap $198M
Fair value as of: Jun 24, 2026
Analysis
Tigo Energy, Inc (TYGO) currently trades at $2.61, while our model-based Fair Value estimate is $1.09 — implying the stock looks roughly 58.2% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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: medium).
About the company
Tigo Energy, Inc., together with its subsidiaries, provides solar and energy storage solutions worldwide. It offers module level power electronics (MLPEs) to maximize the energy output of individual solar modules for utility, commercial, and residential solar arrays. The company also provides GO Energy Storage Systems that provide solar energy storage management capabilities, and energy resilience in the event of a grid outage and optimizes energy consumption based on rate plans for home energy needs; and Energy Intelligence (EI) platform, which provides monitoring and energy demand forecasting capabilities, as well as Predict+, an energy consumption and demand forecasting software. In addition, it offers GO Battery modular, scalable energy storage system; GO Inverter, which offers energy conversion for home consumption or export to the grid; GO Link/Automatic Transfer Switch (ATS), a component for battery backup of on-grid systems; Tigo Predict+ for energy demand forecasting; and G…
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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.