Integrated Drilling Equipment Holdings (IRIG) Fair Value & Analysis
Energy · US · Market cap $440K
Fair value as of: Jun 26, 2026
Analysis
Integrated Drilling Equipment Holdings (IRIG) currently trades at $0.0500, while our model-based Fair Value estimate is $0.0497 — implying the stock looks roughly 0.6% overvalued today. We read business quality at 85/100 (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: medium).
About the company
Integrated Drilling Equipment Holdings Corp. manufactures drilling rigs, rig control systems, and rig components; and provides rig refurbishment and reconfiguration services for contract drilling companies worldwide. It operates through two segments, Electrical Products and Services, and Drilling Products and Services. The Electrical Products and Services segment designs, manufactures, installs, and services rig electrical and control systems, such as silicon controlled rectifier units, variable frequency drive units, electrical cabling, lighting systems, closed circuit video systems, gas and fire detection systems, and communication systems. This segment also offers rig power systems, AC and DC drive systems and MCC, electrical rig up, engine generators, automation, controls/sensors, hydraulic power units, other rig related hydraulic solutions, system integration, hydraulic system design, testing, and rig up/support products and services. The Drilling Products and Services segment …
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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.