DSJ Keep Learning Limited (KEEPLEARN) Fair Value & Analysis
Consumer Defensive · IN · Market cap ₹290M
Strengths
Risks
Fair value as of: Aug 21, 2026
From 7 valuation models · updated today
Share price −1.6% over the past month.
Below-average quality, and screening another 72% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (₹0.7000). The favourable scenario is already priced in.
- Weak quality (22/100) 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.
- A fairly wide model range (₹0.3400 to ₹0.7000) leaves room in how you read the outcome.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Aug 21, 2026.
How to read this chart
60‑month range ₹0.2277 – ₹8.77 · fair‑value band ₹0.3400 – ₹0.7000 · the ₹1.86 price screens above the ₹0.5200 fair value. Dashed = 300-day average. As of Aug 21, 2026.
Analysis
DSJ Keep Learning Limited (KEEPLEARN) currently trades at ₹1.86, while our model-based Fair Value estimate is ₹0.5200, implying the stock looks roughly 72.0% overvalued today. The Quality Score stands at 22/100 (below-average quality), in the Consumer Defensive 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, DSJ Keep Learning Limited generated revenue of ₹72.9M at a net margin of -16.0%. Revenue declined 19.2% year over year. It earns a return on equity of -14.5%. Net debt stands at ₹14.0M. Fundamentals as of Aug 21, 2026
Our scenario range runs from ₹0.3400 (bear case) to ₹0.7000 (bull case); at ₹1.86, 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 42% below its 52-week high and 26% above its 52-week low, currently below its 200-day average. For context, the median of 10 Consumer Defensive peers we cover trades at 7% fair-value upside, at -72%, KEEPLEARN 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 7 models by family
Widest divergence: Growth DCF (₹0.8400) versus Asset-Based (₹0.2700). Highest evidence: Growth DCF (80).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Aug 21, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 28 · Market factors (momentum, volatility) 19
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
DSJ Keep Learning Limited provides educational services in India. It offers various education services, such as campus enablement, online programs for continuing education, and quality assurance mentoring for institutes. The company also engages in licensing pedagogical innovations and platform as a service for campus management.
Full company description
DSJ Keep Learning Limited provides educational services in India. It offers various education services, such as campus enablement, online programs for continuing education, and quality assurance mentoring for institutes. The company also engages in licensing pedagogical innovations and platform as a service for campus management. It serves universities, institutions, and the learner community, as well as publications of research centers. The company was formerly known as DSJ Communications Limited and changed its name to DSJ Keep Learning Limited in June 2021. The company was incorporated in 1989 and is based in Mumbai, India.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
DSJ Keep Learning Limited reported revenue of ₹78.9M in FY2026 versus ₹48.2M in FY2022, a compound +13.1%/yr. Reported net income was −₹9.7M in FY2026.
KEEPLEARN screens 72% overvalued. Compare with New Oriental Education & Technology Group →
Peer Group
Education & Training Services · 149 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 Education & Training Services median · lower = cheaper
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
Similar stocks
10 more Education & Training Services stocks, each showing price versus our Fair Value estimate (as of Aug 21, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| New Oriental Education & Technology Group EDUN | 966.48 MXN | 875.84 MXN | -9% |
| TAL Education Group TAL | $11.87 | $15.60 | +31% |
| Laureate Education, Inc LAUR | $36.99 | $41.45 | +12% |
| Grand Canyon Education, Inc LOPE | $142.06 | $152.01 | +7% |
| Physicswallah Limited PWL | ₹123.90 | ₹14.81 | -88% |
| Covista Inc CVSA | $128.22 | $135.45 | +6% |
| Stride, Inc LRN | $78.59 | $139.45 | +77% |
| Universal Technical Institute, Inc UTI | $25.64 | $20.98 | -18% |
| Offcn Education Technology Co 002607 | ¥2.03 | ¥0.3300 | -84% |
| JF SmartInvest Holdings 9636 | HK$28.70 | HK$39.96 | +39% |
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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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