Fair Value Calculator Fair Value Calculator
EN DE

INNOCORP (INNOCORP) Fair Value & Analysis

IN · Market cap ₹29.0M

I INNOCORP INNOCORP · BSE
Price₹3.65
Fair Value₹2.86
Upside-21.6%
Quality46/100
Watch INNOCORP for free — get notified when fair value or trend changes. Watch for free
Evidence: Low Range ₹2.86 – ₹2.86

Fair value as of: Jul 5, 2026

From 6 valuation models · updated today

Share price −9.0% over the past month.

Price vs Fair Value (12 months)

₹5.82 ₹3.65 Fair Value ₹2.86 Jul 2025 Jul 2026

12‑month range ₹3.65 – ₹5.82 · the ₹3.65 price screens above the ₹2.86 fair value. As of Jul 5, 2026.

✦ Which stocks are undervalued right now? Check free Discover now →

Analysis

INNOCORP (INNOCORP) currently trades at ₹3.65, while our model-based Fair Value estimate is ₹2.86 — implying the stock looks roughly 21.6% overvalued today. We read business quality at 46/100 (below-average quality). 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, INNOCORP generated revenue of ₹2.1M at a net margin of -19.7%. It earns a return on equity of -1.8%. Net debt stands at ₹38.2M. Fundamentals as of Jul 5, 2026

The share trades about 40% below its 52-week high and 1% above its 52-week low, currently below its 200-day average.

Key figures & financial health

Revenue (TTM) ₹2.1M
Net margin -19.7%
Return on equity -1.8%
Free cash flow −₹38.3M FY2025
Operating margin 0.8%
EPS (TTM) ₹-0.0500
More key figures
Net debt ₹38.2M FY2025

Figures from reported company fundamentals (EODHD) · as of Jul 5, 2026. TTM = trailing twelve months.

Revenue & earnings trend

FY2021 – FY2025 · reported fiscal years

INNOCORP reported revenue of ₹2.1M in FY2025 versus ₹5.2M in FY2021, a compound −20.0%/yr. Reported net income was −₹419K in FY2025.

Revenue −20.0%/yr
FY21 ₹5.2M
FY22 ₹1.5M
FY23 ₹0
FY24 ₹0
FY25 ₹2.1M
Net income
FY21 −₹1.7M
FY22 ₹38.5M
FY23 −₹2.6M
FY24 −₹3.8M
FY25 −₹419K

Is INNOCORP fairly valued? → Check now

🧮 Run the numbers yourself — free valuation calculators
📤 Share or link this analysis
🔗 Embed on your site (free fair-value badge)

Paste this into your site or blog — it shows the current fair value and links back here (free, and welcome):

Cite: Fair Value Calculator (2026). "INNOCORP Fair Value". https://www.fairvalue-calculator.com/stock/INNOCORP

Explore undervalued stocks

All undervalued stocks TechnologyFinancial ServicesHealthcareConsumer CyclicalConsumer DefensiveCommunication ServicesIndustrialsEnergyBasic MaterialsReal EstateUtilities Deeply Undervalued StocksUndervalued Blue-Chip StocksUndervalued Small-Cap Stocks

Frequently asked questions

Is INNOCORP (INNOCORP) undervalued?
As of Jul 5, 2026, our model estimates a fair value of ₹2.86 versus a price of ₹3.65 — about −22% (overvalued). Model-based estimate, not financial advice.
What is the fair value of INNOCORP?
Our model-based fair value for INNOCORP is ₹2.86 (as of Jul 5, 2026), built from audited fundamentals. The current price is ₹3.65.
What is the quality score of INNOCORP?
INNOCORP has a Quality Score of 46/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.
What is the revenue of INNOCORP (INNOCORP)?
INNOCORP reported trailing-twelve-month revenue of about ₹2.1M (latest available figure, as of Jul 5, 2026).
What is the net profit margin of INNOCORP?
The net profit margin of INNOCORP is about -19.7%, meaning it is currently running at a net loss. Based on the latest reported figures.

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.