Digi International Inc (DGII) Fair Value & Analysis
Technology · US · Market cap $2.6B
Analysis
Digi International Inc (DGII) currently trades at $68.75, while our model-based Fair Value estimate is $21.65 — implying the stock looks roughly 68.5% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Digi International Inc. provides business and mission-critical Internet of Things (IoT) connectivity products, services, and solutions in the United States, Europe, the Middle East, Africa, and internationally. It operates through IoT Products & Services, and IoT Solutions segments. The company offers cellular routers for mission-critical wireless connectivity; cellular modules to embed cellular communications abilities into the products to deploy and manage intelligent and secure cellular connected products; console servers to provide secure and remote access to network equipment in data centers and at edge locations; and radio frequency products, including embedded wireless modules, off-the-shelf gateways, modems, and adapters under the Digi XBee brand. It also provides embedded system products under the Digi Connect, and ConnectCore brands; and infrastructure management products comprising serial servers, which offers serial port-to-Ethernet integration of devices into wired Eth…
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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.