TATA CONSUMER PRODUCTS LIMITED DCF Valuation
TATACONSUM · Fast Moving Consumer Goods · Current price ₹978.9
TATA CONSUMER PRODUCTS LIMITED cash-flow valuation
Our discounted cash flow (2-stage) values TATA CONSUMER PRODUCTS LIMITED at ₹203 per share. Intrinsic value from 2-stage discounted cash flows (primary for asset-light / normal businesses); FCFE path. It carries 30% of the weight in our published estimate of ₹705. A discounted cash flow is only as good as the cash-flow path it assumes, so the assumptions behind it are listed in full below.
Try your own assumptions
Prefer to build the discounted cash flow yourself? The DCF calculator below opens pre-filled with TATA CONSUMER PRODUCTS LIMITED's reported free cash flow, net debt and share count, so you can set your own growth and discount rate.
How we got this fair value
Every number below is part of the same estimate for TATA CONSUMER PRODUCTS LIMITED. Nothing here is a target price or a forecast of where the share price will go.
The inputs are thin or the models disagree sharply. This is our least reliable kind of estimate, so read the range rather than the single number.
Estimate range ₹353 – ₹1,208
Why this method for this business
Tata Consumer Products is an asset-light FMCG player with durable earnings power and a wide moat. Relative P/E and DCF are the most appropriate models for valuing such a business, as they reflect earnings power and intrinsic value.
The models behind the number
These methods disagree materially, so the estimate is their plain midpoint rather than a weighted blend. The disagreement is itself the finding.
Intrinsic value from 2-stage discounted cash flows (primary for asset-light / normal businesses); FCFE path
- peg: Not used as growth assumptions are not well-defined for a mature business
- relative_pe: Used as the primary model for its simplicity and alignment with earnings power
What was missing
- Lack of analyst coverage for precise forward EPS estimates
- Limited historical data on moat evolution
- Insufficient data on long-term growth assumptions
What drives it
28 inputs, grouped by how strong each claim is
- Sector-median P/E
- 20.9×
- Peers used
- 13
- EPS (TTM)
- 16.53 ₹/share
- Own-history median P/E
- 71.39×
- FCF_0 (normalized)
- 1,164 ₹cr
- Net debt
- 1,072.1 ₹cr
peer-median
peer-median
computed
reconstructed (one feature, dampened — not a cap)
fcf_norm (median ≤5y positive)
total_debt − cash
- Discount rate (r)
- 12.9%
- Beta
- 0.8
COE (building-block)
bottom-up industry
- Stage-1 start growth
- 10.71%
- Fade shape
- linear
- Terminal growth (g)
- 5.35%
- Stage-1 years
- 10 y
pat_cagr_5y
lifecycle Growth
macro terminal × quality premium
lifecycle Growth horizon
- Anchor correction
- peer anchor 20.9x diverges 3.4x from 7yr own-history 71.4x (no size-comparable peer) — anchor blended 0.6 toward own-history → 51.2x
- Term: quality
- +3.0%
- Term: growth
- +3.3%
- Term: capital_allocation
- +7.8%
- Term: financial_strength
- +9.9%
- Term: history
- +11.8%
- Term: sector_rerating
- +0.0%
- Term: rate_regime
- +1.2%
- Term: risk
- +0.0%
- Lifecycle stage
- Growth
- Quality premium
- 1.071×
peer-anchor mismatch — deep own-history used instead
quality 61/100 (high, stable returns) → premium
durable ~11% CAGR (ROCE 9% < 12% hurdle (growth not value-accretive)) → premium
capital allocation: rising ROCE funded by strong FCF → premium
financial strength: effectively debt-free → premium
history: market paid +39% vs sector, dampened ×0.3 (one feature, not the anchor)
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)
forecast engine (L20)
moat Narrow + capital allocation
- Premium vs sector
- +42.7%
- Fair-multiple confidence
- 87%
- Fair P/E
- 73.05×
- Path
- FCFE
- Terminal-value fraction
- 0.52
fundamentals + macro (not capped at own history)
data completeness + term agreement
sector median × ∏(1+term) — Dynamic Fair Multiple
computed (D/E vs 0.8)
PV_TV / (PV_1+PV_TV)
Who computed this
A language model (qwen3:8b) selects the valuation method and the judgement inputs for TATA CONSUMER PRODUCTS 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 CONSUMER PRODUCTS LIMITED
DocStoX estimates are computed from reported financials, for informational purposes only, not investment advice. Consult a SEBI-registered advisor before investing.