eEducation Albert AB (ALBERT) Fair Value & Analysis
Technology · SE · Market cap 112M SEK
Fair value as of: Jul 17, 2026
From 6 valuation models · updated 24 days ago
Share price +6.6% over the past month.
Below-average quality, and screening another 58% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (kr 2.20). The favourable scenario is already priced in.
- Weak quality (42/100) and above fair value at the same time, the margin of safety is missing on both counts.
- The large gap to fair value rests on thin data (low evidence): fewer applicable models and a shorter history. Read it with extra caution.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 17, 2026.
How to read this chart
58‑month range kr 2.29 – kr 56.00 · fair‑value band kr 1.89 – kr 2.20 · the kr 4.84 price screens above the kr 2.04 fair value. Dashed = 300-day average. As of Jul 17, 2026.
Analysis
eEducation Albert AB (ALBERT) currently trades at kr 4.84, while our model-based Fair Value estimate is kr 2.04, implying the stock looks roughly 57.9% overvalued today. The Quality Score stands at 42/100 (below-average quality), in the Technology 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).
Over the trailing twelve months, eEducation Albert AB generated revenue of 180M SEK at a net margin of -31.0%. Revenue declined 19.4% year over year. It earns a return on equity of -93.3%. The balance sheet holds a net cash position of 38.7M SEK. Fundamentals as of Jul 17, 2026
Our scenario range runs from kr 1.89 (bear case) to kr 2.20 (bull case); at kr 4.84, the current price sits above 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 39% below its 52-week high and 86% above its 52-week low, currently above its 200-day average. For context, the median of 10 Technology peers we cover trades at -27% fair-value upside, at -58%, ALBERT screens richer 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 6 models by family
Widest divergence: Growth DCF (kr 2.30) versus Asset-Based (kr 1.21). Highest evidence: Growth DCF (80).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 17, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 43 · Market factors (momentum, volatility) 58
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
eEducation Albert AB (publ) develops and markets digital educational services on a subscription basis to private individuals and schools in Sweden and internationally.
Full company description
eEducation Albert AB (publ) develops and markets digital educational services on a subscription basis to private individuals and schools in Sweden and internationally. It offers Albert Junior for foundational and early-years learning in mathematics; Albert Teen, an educational platform for continued mathematics support for older learners; Sumdog, a U.K.-based mathematics learning platform; Swedish Film, a platform that provides educational films and film rights to the Swedish market; and Jaramba and Holy Owly, which offer complementary learning experiences for younger users. The company was incorporated in 2015 and is headquartered in Gothenburg, Sweden.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
eEducation Albert AB reported revenue of kr 161M in FY2025 versus kr 62.6M in FY2021, a compound +26.7%/yr. Reported net income was −kr 62.6M in FY2025.
ALBERT screens 58% overvalued. Compare with SAP SE →
Peer Group
Software - Application · 709 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 Software - Application 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.
VALUE 0: the price sits above our fair-value range.
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 Software - Application stocks, each showing price versus our Fair Value estimate (as of Jul 17, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| SAP SE SAPS | C$12.69 | C$16.26 | +28% |
| Shopify Inc SHOP | C$173.23 | C$20.54 | -88% |
| Uber Technologies, Inc UBER | $72.67 | $51.11 | -30% |
| Salesforce, Inc CRM | $170.77 | $182.10 | +7% |
| ServiceNow, Inc NOW | $107.71 | $33.12 | -69% |
| Cadence Design Systems, Inc CDNS | $384.17 | $80.41 | -79% |
| Snowflake Inc SNOW | $271.87 | $34.04 | -87% |
| Adobe Inc ADBE | $230.61 | $379.48 | +65% |
| Automatic Data Processing, Inc ADP | $241.92 | $177.51 | -27% |
| Intuit Inc INTU | $291.09 | $258.69 | -11% |
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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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