Cityvarasto Oyj (CITYVA) Fair Value & Analysis
Real Estate · FI · Market cap €127M
Fair value as of: Jun 26, 2026
Analysis
Cityvarasto Oyj (CITYVA) currently trades at €15.60, while our model-based Fair Value estimate is €21.67 — implying the stock looks roughly 38.9% undervalued today. We read business quality at 83/100 (high quality), in the Real Estate 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: medium) — always confirm before acting.
About the company
Cityvarasto Oyj operates as a self-storage, van rental and moving service company in Finland. The company engages in owning, leasing, developing, and trading warehouses, commercial premises, workspaces, recreational and production facilities, residential properties, containers, land areas, and properties, as well as securities trading. It also rents self-storage, mesh, locker, and drive-up units, as well as storage containers and mailboxes; sells storage, packing, and protective products, such as cardboard boxes, packing materials, locks, moving boxes, moving blankets, protective covers, and moving kits; and offers customers reception services. In addition, the company is involved in short-term rental of vans and moving service business. Cityvarasto Oyj was incorporated in 1999 and is based in Vantaa, Finland.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Cityvarasto Oyj (CITYVA) undervalued?
What is the fair value of CITYVA?
What is the quality score of CITYVA?
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.