Ricoh Company (RICOF) Fair Value & Analysis
Industrials · US · Market cap $6.5B
Analysis
Ricoh Company (RICOF) currently trades at $9.19, while our model-based Fair Value estimate is $12.85 — implying the stock looks roughly 39.8% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Ricoh Company, Ltd., together with its subsidiaries, engages in the digital services, digital products, graphic communications, industrial solutions, and other businesses in Japan, the Americas, Europe, the Middle East, Africa, and internationally. The company is involved in the production, OEM, and sale of multifunctional printers (MFPs) laser printers, digital duplicators, wide format printers, facsimile machine, scanners, personal computers, servers, and network equipment; production and sales of electronic components; and provision of related parts and supplies, services, support, software, and service and solutions related to documents. It also produces and sells cut sheet printers, continuous feed printer, inkjet heads, imaging systems, and industrial printers, as well as thermal paper and thermal media, industrial optical component/module and precision mechanical component; and digital and 360-degree cameras; and environment and healthcare activities. The company was formerly…
Open the full interactive analysis →
Similar stocks
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.