Building a DCF Valuation Model for Polycab India Ltd. in Excel – A Detailed Guide



๐Ÿ“˜ Building a DCF Valuation Model for Polycab India Ltd. in Excel – A Detailed Guide


๐ŸŽฏ Objective

To estimate the intrinsic value of Polycab India Ltd. using the Discounted Cash Flow (DCF) methodology, a cornerstone of equity valuation under the CFA curriculum (Level I-III).

We will construct the model in Microsoft Excel, using publicly available data from Screener.in, Annual Reports, and NSE.


๐Ÿ—️ DCF Valuation Framework

DCF valuation is based on the principle that a stock’s fair value is the present value of its future expected free cash flows (FCFs) discounted at an appropriate rate of return (cost of capital).

Intrinsic Value (Equity) = PV of Forecasted FCFs + PV of Terminal Value – Net Debt (if using FCFF)

In this case, we will use Free Cash Flow to Firm (FCFF) and value equity per share by dividing by outstanding shares.


๐Ÿงฎ Step-by-Step Model Construction for Polycab India Ltd


๐Ÿ“ Step 1: Gather and Validate Key Financial Data

Input

Value

Source

Free Cash Flow (FY23)

₹1,063 Cr

Screener.in → Cash Flow Statement

Revenue (FY23)

₹14,108 Cr

Screener → Profit & Loss

EBITDA Margin (Avg 3Y)

~12.5%

Screener / AR

CAGR Revenue (5Y)

~14.5%

Screener → Charts/5Y history

Net Debt

₹(2,200 Cr) (cash)

Screener.in / Balance Sheet

Shares Outstanding

15.01 Cr

Screener.in (Right Panel)

Tax Rate

~25%

Company effective tax rate


๐Ÿ“ˆ Step 2: Set Assumptions and Forecast Parameters

Assumption

Value

Rationale

Forecast Period

5 Years

Standard horizon for DCF

FCF Growth Rate (Years 1-5)

15% CAGR

Inline with historical trends + India infra growth tailwinds

Terminal Growth Rate (g)

5%

Slightly above inflation, below GDP

Discount Rate (WACC)

12%

Based on implied cost of capital (conservative)


๐Ÿ“Š Step 3: Forecast Future Free Cash Flows (FCFF)

๐Ÿ“˜ Formula:

FCFt=FCFt1×(1+g)FCF_{t} = FCF_{t-1} \times (1 + g)

๐Ÿงพ Excel Table:

Year

Formula in Excel

FCF (₹ Cr)

FY24

=1063*(1+15%)

1,222

FY25

=1222*(1+15%)

1,405

FY26

=1405*(1+15%)

1,616

FY27

=1616*(1+15%)

1,859

FY28

=1859*(1+15%)

2,138

๐Ÿ“‰ Step 4: Discount Each FCF to Present Value

๐Ÿ“˜ Formula:

PVFCF=FCFt(1+r)tPV_{FCF} = \frac{FCF_t}{(1 + r)^t}

Year

FCF (₹ Cr)

Discount Factor (12%)

PV of FCF (₹ Cr)

1

1,222

0.8929

1,091

2

1,405

0.7972

1,119

3

1,616

0.7118

1,150

4

1,859

0.6355

1,183

5

2,138

0.5674

1,214

Total

₹5,757 Cr


๐Ÿ” Step 5: Compute Terminal Value (TV)

๐Ÿ“˜ Formula (Gordon Growth Model):

TV=FCF5×(1+g)(rg)=2138×1.050.120.05TV = \frac{FCF_5 \times (1 + g)}{(r - g)} = \frac{2138 \times 1.05}{0.12 - 0.05} TV=22450.07=32,071CrTV = \frac{2245}{0.07} = ₹32,071 Cr

๐ŸŽฏ Discount to Present Value:

PVTV=TV(1+r)5=32071(1.12)5=18,180CrPV_{TV} = \frac{TV}{(1 + r)^5} = \frac{32071}{(1.12)^5} = ₹18,180 Cr

๐Ÿงพ Step 6: Enterprise Value (EV) and Equity Value

Enterprise Value=PVFCFs+PVTV=5,757+18,180=23,937Cr\text{Enterprise Value} = PV_{FCFs} + PV_{TV} = 5,757 + 18,180 = ₹23,937 Cr

Since Polycab has net cash (negative net debt):

Equity Value=EV+NetCash=23,937+2,200=26,137Cr\text{Equity Value} = EV + Net Cash = 23,937 + 2,200 = ₹26,137 Cr

๐Ÿ’ฐ Step 7: Intrinsic Value per Share

Value per Share=EquityValueSharesOutstanding=26,13715.011,741\text{Value per Share} = \frac{Equity Value}{Shares Outstanding} = \frac{26,137}{15.01} ≈ ₹1,741

๐Ÿ“‰ Step 8: Market Price Comparison

  • Current Market Price (May 2025): ₹1,400 (approx.)

  • DCF Value per Share: ₹1,741

  • Margin of Safety:

(17411400)1400=24.5%\frac{(1741 - 1400)}{1400} = 24.5\%

⚠️ Limitations and Considerations

Area Risk / Subjectivity
Growth Rate Assumed based on past CAGR + outlook
WACC Estimate No exact CAPM used, simplified to 12%
Terminal Growth Highly sensitive; consider sensitivity analysis
FCF Cyclicality Polycab operates in infra/construction-linked sector

๐Ÿ“Š Conclusion

Based on our conservative DCF model, Polycab India's intrinsic value per share is estimated at ₹1,741, implying a ~25% upside potential from current levels. While DCF is highly sensitive to assumptions, it serves as a robust foundational method for valuation.


๐Ÿ”— References & Tools


Disclaimer: The above is a sample calculation provided for illustrative purposes only. It does not constitute investment advice or a recommendation. Please consult with your investment advisor or a qualified financial professional before making any investment decisions.


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