OIT (OIT) Fair Value & Analysis
Financial Services · GB · Market cap 293M GBX
Fair value as of: Jun 25, 2026
From 2 valuation models · updated 8 days ago
Share price +2.4% over the past month.
Price vs Fair Value (12 months)
12‑month range £1.46 – £2.06 · fair‑value band £1.37 – £2.29 · the £2.05 price screens above the £1.83 fair value. As of Jun 25, 2026.
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OIT (OIT) currently trades at £2.05, while our model-based Fair Value estimate is £1.83 — implying the stock looks roughly 10.7% overvalued today. We read business quality at 54/100 (solid quality), in the Financial Services 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).
Trailing-twelve-month revenue stands at £318K. Revenue grew 98.8% year over year. It earns a return on equity of -0.9%. The balance sheet holds a net cash position of £1.4M. Fundamentals as of Jun 25, 2026
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jun 25, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
OIT reported revenue of −£20.1M in FY2025 versus £43.2M in FY2021. Reported net income was −£23.4M in FY2025.
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6 more Asset Management stocks, each showing price versus our Fair Value estimate (as of Jun 25, 2026).
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| Fondul Proprietatea SA FP | $4.20 | $6.41 | +53% |
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| Investor AB IVSBF | $39.99 | $79.98 | +100% |
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Frequently asked questions
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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.