Oncoclínicas do Brasil Serviços Médicos S.A (ONCO3) Fair Value & Analysis
Healthcare · BR · Market cap R$1.4B
Fair value as of: Jun 25, 2026
Analysis
Oncoclínicas do Brasil Serviços Médicos S.A (ONCO3) currently trades at R$1.35, while our model-based Fair Value estimate is R$0.4800 — implying the stock looks roughly 64.4% overvalued today. We read business quality at 92/100 (high quality), in the Healthcare 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: low).
About the company
Oncoclínicas do Brasil Serviços Médicos S.A., together with its subsidiaries, provides oncology, hematology, radiotherapy, and genomics healthcare services in Latin America. The company offers treatment services, including radiotherapy, hormone therapy, immunotherapy, port-a-cath, palliative care, target therapy, breast cancer hormone therapy, bone marrow transplant, non-oncological infusions, chemotherapy, oral chemotherapy, and prostate cancer hormone therapy; and surgery procedures, such as breast, head and neck, lung, prostate cancer, stomach, bladder cancer, oncological, kidney cancer, gynecological, and testicular cancer. It also provides diagnostics services comprising pathological analysis, genetic testing, molecular journey, personalized medicine and individualized treatment, myelogram-bone marrow biopsy, and ONCO test-PDO. In addition, the company offers treatment support services, which include veinviewer, cryotherapy, integrative medicine, and DeLife, as well as hilother…
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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.