Kontrol Technologies Corp (KNR) Fair Value & Analysis
Technology · CA · Market cap C$3.5M
Fair value as of: Jun 26, 2026
Analysis
Kontrol Technologies Corp (KNR) currently trades at C$0.0650, while our model-based Fair Value estimate is C$0.0813 — implying the stock looks roughly 25.0% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
Kontrol Technologies Corp., together with its subsidiaries, provides energy management and consulting services in Canada. The company offers building heating, ventilation, and air conditioning installation, integration, automation, and retrofits services, as well as custom system design, installation, and maintenance; and cost-effective energy auditing, monitoring and verification, energy project assessment, and LEED facilitation, as well as mechanical, electrical, and renewable design. It also provides SmartSite, a building energy software technology that assists in the operation and management of heating, ventilation, and cooling systems for factories, large multi-residential, commercial, and mission critical buildings; and BioCloud, a real-time viral detection technology that operates as an ambient air monitoring system. In addition, the company offers BuildX AI, a smart building management platform. It serves commercial, multi-residential, and industrial customers. The company i…
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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.