TATA CONSULTANCY SERV LT Fair Value
TCS · Information Technology · Current price ₹2,465
Is TATA CONSULTANCY SERV LT undervalued?
We estimate the fair value of TATA CONSULTANCY SERV LT at ₹3,352 per share, against a market price of ₹2,201. That puts the share price about +52.3% below our estimate, at low 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) (₹1,616), Fair multiple (P/E) (₹5,089). These methods disagree materially, so the estimate is their midpoint rather than a weighted blend, and the disagreement is part of the finding. The full working, including the assumptions and what data was missing, is set out below.
The range around this estimate
Our estimate for TATA CONSULTANCY SERV LT spans ₹1,676 to ₹5,089. That range is wide, which is the honest signal here: read the range rather than the single number. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.
How we got this fair value
Every number below is part of the same estimate for TATA CONSULTANCY SERV LT. 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 ₹1,676 – ₹5,089
Why this method for this business
TCS is an asset-light IT services company with strong cash flows and a wide moat, making DCF and relative P/E the most appropriate valuation methods. DCF captures its durable cash generation, while relative P/E reflects its premium valuation as a market leader.
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
- ev_ebitda - not suitable for asset-light IT services where earnings power is more relevant than EBITDA multiples
What was missing
- Detailed breakdown of revenue by service line and geography
- Long-term margin sustainability in AI and cloud services
- Competitive positioning in emerging technologies
What drives it
27 inputs, grouped by how strong each claim is
- FCF_0 (normalized)
- 37,008 ₹cr
- Net debt
- 8,095 ₹cr
- Sector-median P/E
- 22.38×
- Peers used
- 6
- EPS (TTM)
- 137.64 ₹/share
- Own-history median P/E
- 27.83×
fcf_norm (median ≤5y positive)
total_debt − cash
peer-median
peer-median
computed
reconstructed (one feature, dampened — not a cap)
- Discount rate (r)
- 13.65%
- Beta
- 0.9
COE (building-block)
bottom-up industry
- Stage-1 start growth
- 8.72%
- Fade shape
- gentle
- Terminal growth (g)
- 5.5%
- Stage-1 years
- 14 y
pat_cagr_5y
lifecycle Cash-Cow
macro terminal × quality premium
lifecycle Cash-Cow horizon
- Lifecycle stage
- Cash-Cow
- Quality premium
- 1.1×
- Term: quality
- +14.2%
- Term: growth
- +5.9%
- Term: capital_allocation
- +15.0%
- Term: financial_strength
- +9.4%
- Term: history
- +7.3%
- Term: sector_rerating
- +0.0%
- Term: rate_regime
- +1.2%
- Term: risk
- +0.0%
forecast engine (L20)
moat Wide + capital allocation
quality 83/100 (high, stable returns) → premium
durable ~9% CAGR (ROCE 51% > hurdle) → premium
capital allocation: rising ROCE funded by strong FCF → premium
financial strength: low leverage (D/E 0.1) → mild premium
history: market paid +24% 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)
- Path
- FCFE
- Terminal-value fraction
- 0.377
- Premium vs sector
- +65.2%
- Fair-multiple confidence
- 84%
- Fair P/E
- 36.97×
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 (glm-4.5-air) selects the valuation method and the judgement inputs for TATA CONSULTANCY SERV LT: 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 CONSULTANCY SERV LT
DocStoX estimates are computed from reported financials, for informational purposes only, not investment advice. Consult a SEBI-registered advisor before investing.