1. The Discounted Cash Flow (DCF) Framework
The core valuation methodology rests upon the Free Cash Flow to Firm (FCFF) model. According to standard corporate finance theory (Damodaran, 2012), the intrinsic value of an asset is the present value of its expected future cash flows. FCFF isolates the operational cash generated by the business before debt obligations are met, calculated as:
2. Weighted Average Cost of Capital (WACC)
To discount these cash flows back to the present, we utilize the Weighted Average Cost of Capital (WACC). This acts as the hurdle rate, blending the cost of equity (derived via the Capital Asset Pricing Model or CAPM) and the after-tax cost of debt, weighted by the firm's capital structure. For Sun Pharma, the WACC is calculated dynamically based on trailing risk-free rates and market risk premiums.
3. Terminal Value via Gordon Growth Model
Because a firm operates in perpetuity, predicting explicit cash flows beyond year 5 becomes highly speculative. We cap the explicit forecast using the Gordon Growth Model (GGM) to find the Terminal Value (TV). This assumes the firm enters a steady state, growing at a perpetual macroeconomic rate (typically anchored to GDP growth).
4. Stochastic Monte Carlo Simulation
Deterministic DCFs suffer from "garbage in, garbage out" fragility. A single 1% error in growth assumptions can massively distort the terminal value. To mitigate this, we implemented a Monte Carlo Simulation. By assigning normal probability distributions (Means and Standard Deviations) to key drivers like Revenue Growth and EBIT Margin, the engine mathematically iterates up to 25,000 independent parallel universes. The Central Limit Theorem then structures these outputs into a normalized probability density curve, establishing statistically robust Bear (10th percentile), Base (50th percentile), and Bull (90th percentile) valuations.
5. Reverse DCF (Market Implied Expectations)
The final academic step is measuring Market Delusion. Using root-finding optimization algorithms, the mathematical engine runs backward. It anchors the Terminal Value to the live market trading price and solves algebraically for the implied Revenue Growth Rate required to justify it. This allows analysts to compare market expectations against fundamental macroeconomic realities.