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Dyno Nobel Limited (ICPVF) Fair Value & Analysis

Basic Materials · US · Market cap $3.9B

Price$2.52
Fair Value$0.6400
Upside-74.6%
Quality95/100
Evidence: High Range $0.4800 – $0.8100

Analysis

Dyno Nobel Limited (ICPVF) currently trades at $2.52, while our model-based Fair Value estimate is $0.6400 — implying the stock looks roughly 74.6% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

Dyno Nobel Limited, together with its subsidiaries, manufactures and distributes industrial explosives, chemicals, and fertilizers in the United States and Australia. It offers packaged explosives, including Powermite, a cartridge explosive; and Dynosplit for pre-split applications, as well as ammonium nitrates. The company also provides initiation systems, such as BlastWeb II, an underground blasting system; CE4 Commander Blasting System and DigiShot Plus.4G, an electronic blasting systems; and electronic detonators, such as DigiShot, DigiShot Plus, DigiShot Plus.4G, and GeoShot for a range of applications, such as surface and underground mining, quarrying, and construction, as well as bulk technologies under TITAN series and software products, such as ViewShot 3D, DIFFERENTIAL ENERGY2, and Nobel Fire. It exports its products. It also provides Dyno Consult and Drill and Blast Academies services; DYNOBULK FLEX, and Portable Modular Emulsion plants. The company was formerly known as …

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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.