LADDERUP (LADDERUP) Fair Value & Analysis
IN · Market cap ₹600M
Fair value as of: Jul 5, 2026
From 24 valuation models · updated 3 days ago
Share price +9.0% over the past month.
Price vs Fair Value (12 months)
12‑month range ₹45.40 – ₹78.29 · fair‑value band ₹43.95 – ₹73.25 · the ₹56.62 price screens below the ₹58.60 fair value. As of Jul 5, 2026.
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LADDERUP (LADDERUP) currently trades at ₹56.62, while our model-based Fair Value estimate is ₹58.60 — implying the stock looks roughly 3.5% undervalued today. We read business quality at 57/100 (solid quality). 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: medium) — always confirm before acting.
Over the trailing twelve months, LADDERUP generated revenue of ₹272M at a net margin of 13.5%. Revenue grew 197.4% year over year. It earns a return on equity of 6.2%. Net debt stands at ₹194M. Fundamentals as of Jul 5, 2026
Our scenario range runs from ₹43.95 (bear case) to ₹73.25 (bull case); at ₹56.62, the current price sits within that range. The share trades about 31% below its 52-week high and 26% above its 52-week low, currently above its 200-day average.
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 5, 2026. TTM = trailing twelve months.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
LADDERUP reported revenue of ₹163M in FY2025 versus ₹108M in FY2021, a compound +10.9%/yr. Reported net income was ₹36.5M in FY2025, compounding +11.4%/yr from FY2021.
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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.
Not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.