Transtech Industries, Inc (TRTI) Fair Value & Analysis
Industrials · US · Market cap $8.2M
Fair value as of: Jun 25, 2026
Analysis
Transtech Industries, Inc (TRTI) currently trades at $2.75, while our model-based Fair Value estimate is $3.37 — implying the stock looks roughly 22.5% undervalued today. We read business quality at 89/100 (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
Transtech Industries, Inc., through its subsidiaries, generates electricity utilizing methane gas and provides environmental services. It supervises and performs landfill monitoring and closure procedures; manages methane gas recovery operations; and provides a range of construction, remedial, and maintenance services at landfills, commercial, and industrial sites. The company also provides clay or synthetic, erosion control, and vegetation landfill caps services; and methane control services, such as turnkey methane recovery systems, electrical generating, flaring, well installation, and migration testing and monitoring. In addition, it offers water treatment services, such as collection systems and pre-treatment facilities; ground water services, including well installation, monitoring, and chain of custody; and surface water services that include downshoots, gabions, berms, and retention basins. Further, the company provides electrical instrumentation, property maintenance, land …
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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.