Saga Furs Oyj (SAGCV) Fair Value & Analysis
Consumer Cyclical · FI · Market cap €51.6M
Fair value as of: Jul 19, 2026
From 24 valuation models · updated 22 days ago
Share price −1.0% over the past month.
A solid business, screening 63% undervalued on our models.
What matters now
- The price is below even our cautious bear case (€17.94). The market is more pessimistic than our downside scenario.
- Solid quality (53/100) at a price below fair value, the discount is the argument here, not the business quality.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 19, 2026.
How to read this chart
60‑month range €6.05 – €15.20 · fair‑value band €17.94 – €26.10 · the €14.65 price screens below the €23.91 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Jul 19, 2026.
Analysis
Saga Furs Oyj (SAGCV) currently trades at €14.65, while our model-based Fair Value estimate is €23.91, implying the stock looks roughly 63.2% undervalued today. The Quality Score stands at 53/100 (solid quality), in the Consumer Cyclical 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.
Over the trailing twelve months, Saga Furs Oyj generated revenue of €42.3M at a net margin of 8.4%. Revenue grew 7.4% year over year. It earns a return on equity of 4.0%. The balance sheet holds a net cash position of €51.7M. Fundamentals as of Jul 19, 2026
Our scenario range runs from €17.94 (bear case) to €26.10 (bull case); at €14.65, the current price sits below that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades about 1% below its 52-week high and 144% above its 52-week low, currently above its 200-day average. For context, the median of 10 Consumer Cyclical peers we cover trades at -27% fair-value upside, at 63%, SAGCV screens cheaper than that median.
Fair Value models
Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.
All 24 models by family
Widest divergence: DCF Models (€59.20) versus Dividend Discount (€8.47). Highest evidence: Growth DCF (80).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 19, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 56 · Market factors (momentum, volatility) 85
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
About the company
Saga Furs Oyj operates an auction house furs in Finland. The company provides finnraccoon, fox, and mink furs on a global scale. It serves fur breeders and suppliers, clothing designers, manufacturers, and fashion houses. The company was formerly known as Turkistuottajat Oyj and changed its name to Saga Furs Oyj in October 2011.
Full company description
Saga Furs Oyj operates an auction house furs in Finland. The company provides finnraccoon, fox, and mink furs on a global scale. It serves fur breeders and suppliers, clothing designers, manufacturers, and fashion houses. The company was formerly known as Turkistuottajat Oyj and changed its name to Saga Furs Oyj in October 2011. Saga Furs Oyj was incorporated in 1938 and is headquartered in Vantaa, Finland.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Saga Furs Oyj reported revenue of €42.3M in FY2025 versus €51.0M in FY2021, a compound −4.6%/yr. Reported net income was €3.5M in FY2025, compounding −27.6%/yr from FY2021.
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Peer Group
Textile Manufacturing · 307 stocks
How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.
Valuation Multiples vs Textile Manufacturing median · lower = cheaper
Snowflake
Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.
Insider activity: 40/100
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.
Similar stocks
10 more Textile Manufacturing stocks, each showing price versus our Fair Value estimate (as of Jul 19, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Shenzhou International Group 2313 | HK$44.40 | HK$75.65 | +70% |
| Tongkun Group 601233 | ¥23.56 | ¥14.53 | -38% |
| Inner Mongolia ERDOS Resources Co 600295 | ¥12.04 | ¥14.35 | +19% |
| HMT (Xiamen) New Technical Materials Co 603306 | ¥91.75 | ¥12.85 | -86% |
| Far Eastern New Century Corporation 1402 | 27.55 TWD | 28.72 TWD | +4% |
| K.P.R. Mill Limited KPRMILL | ₹1,083 | ₹467.49 | -57% |
| Zhejiang Orient Holdings 600120 | ¥5.18 | ¥2.21 | -57% |
| Vardhman Textiles Limited VTL | ₹602.20 | ₹437.53 | -27% |
| Isiklar Enerji ve Yapi Holding IEYHO | 174.20 TRY | 323.84 TRY | +86% |
| Shandong Fiberglass Group 605006 | ¥16.75 | ¥6.42 | -62% |
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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.
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