Tata Motors Limited Intrinsic Value
TMCV · Capital Goods · Current price ₹420.2
Is Tata Motors Limited undervalued?
We estimate the fair value of Tata Motors Limited at ₹224 per share, against a market price of ₹435. That puts the share price about -48.5% above our estimate, at medium confidence. This is our view of what the business is worth, not a target price or a forecast of where the share price will go.
How this fair value is calculated
This estimate comes from 2 methods: Discounted cash flow (2-stage) (₹233), Fair multiple (P/E) (₹198). Each is weighted by how well its inputs held up for this company. The full working, including the assumptions and what data was missing, is set out below.
The range around this estimate
Our estimate for Tata Motors Limited spans ₹202 to ₹246. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.
Margin of safety
Value investors look for a margin of safety: a discount to estimated value that absorbs being wrong. At ₹435 against an estimated value of ₹224, Tata Motors Limited trades at -48.5%, i.e. a premium to our estimate. How much margin to demand depends on how much you trust the inputs, which is what the confidence band below is for.
How we got this fair value
Every number below is part of the same estimate for Tata Motors Limited. Nothing here is a target price or a forecast of where the share price will go.
Workable, with real gaps. Weigh it alongside your own view rather than on its own.
Estimate range ₹202 – ₹246
Why this method for this business
Tata Motors is a capital-intensive business with cyclical earnings, making DCF and EV/EBITDA the most appropriate models. Relative PE is used to anchor the valuation against peers.
The models behind the number
Each method is weighted by how well its inputs held up for this company.
Intrinsic value from 2-stage discounted cash flows (primary for asset-light / normal businesses); FCFE path
required inputs missing
- Discounted cash flow (2-stage) is the primary model due to its alignment with capital-intensive and cyclical businesses. EV/EBITDA is used to complement DCF. Relative PE is used for peer comparison.
What was missing
- Lack of historical P/E data for peer comparison
- Limited forward estimates for EBITDA margins
What drives it
26 inputs, grouped by how strong each claim is
- FCF_0 (normalized)
- 8,153.5 ₹cr
- Net debt
- 5,615 ₹cr
- Sector-median P/E
- 21.81×
- Peers used
- 76
- EPS (TTM)
- 8.23 ₹/share
fcf_norm (median ≤5y positive)
gross debt (cash n/a)
peer-median
peer-median
computed
- Discount rate (r)
- 15.53%
- Beta
- 1.15
COE (building-block)
bottom-up industry
- Stage-1 start growth
- 5.5%
- Fade shape
- linear
- Terminal growth (g)
- 5.5%
- Stage-1 years
- 14 y
pat_cagr_5y
lifecycle Mature
macro terminal × quality premium
lifecycle Mature horizon
- Lifecycle stage
- Mature
- Quality premium
- 1.1×
- Term: quality
- +7.1%
- Term: growth
- -11.4%
- Term: capital_allocation
- +6.0%
- Term: financial_strength
- +8.4%
- Term: history
- +0.0%
- Term: sector_rerating
- +0.0%
- Term: rate_regime
- +1.2%
- Term: risk
- +0.0%
forecast engine (L20)
moat Wide + capital allocation
quality 69/100 (high, stable returns) → premium
weak ~3% CAGR (ROCE 36% > hurdle) → discount
capital allocation: rising ROCE funded by strong FCF → premium
financial strength: low leverage (D/E 0.3) → mild premium
history: no reliable own-history P/E → not used
sector re-rating: no sector-norm history → not used
rates: risk-free 6.9% below ~7.1% normal → higher multiple
risk: no analyst-dispersion signal available → neutral (lowers confidence, not PE)
- Path
- FCFE
- Terminal-value fraction
- 0.281
- Premium vs sector
- +10.5%
- Fair-multiple confidence
- 44%
- Fair P/E
- 24.09×
computed (D/E vs 0.8)
PV_TV / (PV_1+PV_TV)
fundamentals + macro (not capped at own history)
data completeness + term agreement
sector median × ∏(1+term) — Dynamic Fair Multiple
Who computed this
A language model (qwen3:8b) selects the valuation method and the judgement inputs for Tata Motors Limited: which models suit the business, the moat, the growth and margin assumptions. It does not produce the number. The fair value itself is computed in Python by a deterministic engine (version 2026.08.1) from those inputs, so the same inputs always give the same result and every figure above can be traced to a source.
Estimated 14 Sept 2026. Re-run as new financials and news arrive.
How we value stocks
We estimate what a business is worth from its own economics: cash flows, returns on capital, and a multiple justified by its quality, rather than from where the share price has been. A fair value estimate is a view, not a verdict, and it is only as good as the inputs listed above.
Read the full fair-value methodologyMore on Tata Motors Limited
DocStoX estimates are computed from reported financials, for informational purposes only, not investment advice. Consult a SEBI-registered advisor before investing.