Iridium Communications Inc (IRDM) Fair Value & Analysis
Communication Services · US · Market cap $5.5B
Fair value as of: Jun 24, 2026
Analysis
Iridium Communications Inc (IRDM) currently trades at $44.16, while our model-based Fair Value estimate is $19.97 — implying the stock looks roughly 54.8% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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
Iridium Communications Inc. provides mobile voice and data communications services and products to businesses, the United States and foreign governments, non-governmental organizations, and consumers in the United States, Canada, and internationally. The company offers mobile satellite communications services for land mobile end users and aviation sectors; broadband terminals, embedded devices, and handsets for merchant shipping, fishing, leisure and research vessels, and specialized watercraft; satellite-based IoT services; hosted payload and other data services; and other data services and engineering services. It also provides postpaid mobile voice and data satellite communications; prepaid mobile voice satellite communications; push-to-talk; broadband data; Internet of Things (IoT); and satellite time and location services. In addition, the company offers personnel tracking devices; asset tracking devices for equipment, vehicles, and aircrafts; beyond-line-of-sight aircraft comm…
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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.