IPD Group (IPG) Fair Value & Analysis
Industrials · AU · Market cap A$632M
Fair value as of: Jun 24, 2026
Analysis
IPD Group (IPG) currently trades at A$6.09, while our model-based Fair Value estimate is A$6.04 — implying the stock looks roughly 0.8% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high).
About the company
IPD Group Limited distributes electrical infrastructure in Australia. It operates through Products Division and Services Division segments. The company offers power distribution; industrial and motor control; automation and industrial communication; power monitoring; electrical cables; cable plugs; and hazardous area equipment under the third-party brands, such as ABB, Elsteel, and Emerson & Red Lion. It also offers installation and commissioning; calibration and testing; maintenance and repairs; electric vehicle solutions; and refurbishment and other services. In addition, the company offers value-added services, including custom assembly, sourcing, engineering design, technical compliance, procurement, transport, storage, regulatory management, technical support, packaging, labelling, inventory management, and delivery. It serves switchboard manufacturers, electrical wholesalers, electrical contractors, power utilities, OEMs, and system integrators. The company was formerly known …
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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.