Information Planning CO., LTD. (IPNAF) Fair Value & Analysis
Technology · US · Market cap $87.0M
Fair value as of: Jun 24, 2026
Analysis
Information Planning CO., LTD. (IPNAF) currently trades at $5.75, while our model-based Fair Value estimate is $7.22 — implying the stock looks roughly 25.6% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
Information Planning CO., LTD. provides system consulting services primarily for financial institutions in Japan. The company offers credit risk solutions, including comprehensive financial statement reading, financial analysis and loan decision support, real estate collateral evaluation management, corporate rating, sole proprietor rating, delinquent management system, self-assessment support, credit risk qualification and asset calculation systems, as well as bad debt record rate calculation and receivable write-off reserve management systems. It also provides loan-related and customer management solutions, such as loan approval support, contract create support, electronic contract, business evaluation support, management plan formulation support, sale support, sales branch support, and general approval support systems; and general affairs and accounting related solutions comprising fixed asset, accounting support, securities, capital investment, and expense payment administrative…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Information Planning CO., LTD. (IPNAF) undervalued?
What is the fair value of IPNAF?
What is the quality score of IPNAF?
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.