High Arctic Overseas Holdings (HOH) Fair Value & Analysis
Energy · CA · Market cap C$24.6M
Fair value as of: Jun 25, 2026
Analysis
High Arctic Overseas Holdings (HOH) currently trades at C$1.83, while our model-based Fair Value estimate is C$1.51 — implying the stock looks roughly 17.5% overvalued today. We read business quality at 95/100 (high quality), in the Energy 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: low).
About the company
High Arctic Overseas Holdings Corp., through its subsidiaries, provides contract drilling, equipment rental, and other oilfield services in Papua New Guinea. It offers oil and gas drilling, workovers and abandonments, and heli-portable services. The company also engages in the rental of equipment, including cranes, telehandlers, and loaders; light vehicles and heavy transport; generators and fuel storage; site matting; modular camps and offices; pressure washers and water transfer pumps; and elevated work platforms, light plants, and compressors. In addition, it provides fire services, such as alarm, automated fire sprinkler, and special hazards and suppression systems, as well as fire hydrant, hose reel and fire pump sets, fire system design, inspections and testing, and hazard and risk assessments. Further, the company is involved in preventive maintenance program development, implementation, and automation; risk-based maintenance and integrity management for critical equipment; m…
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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.