DCF Intrinsic Value Model
Methodology & Framework

The DCF Intrinsic Value Model is built on a foundational belief: fair value is the present value of all future free cash flows a business will generate for its shareholders. This is the most theoretically grounded approach to equity valuation, rooted in decades of academic finance and practiced by institutional investors worldwide.

However, DCF is only as good as its inputs. Small changes in growth or discount rate assumptions can swing output by 50% or more. Our model addresses this through conservative guardrails, scenario analysis, and radical transparency — every assumption is visible, adjustable, and documented.

Core Design Principles

• DCF is for structural cash generators: The model is deliberately restricted to companies with demonstrated, recurring free cash flow. Cyclical, pre-revenue, and speculative businesses are excluded — not because they lack value, but because DCF provides false precision for them.
• Exclusion is a feature, not a bug: Showing "N/A" for companies where DCF is inappropriate is intellectually honest. Alternative valuation lenses (relative multiples, EV/EBITDA bands) are provided for excluded stocks.
• Honest framing over false confidence: The model avoids language like "conservative estimate" or "market is wrong." Instead, outputs are presented as "DCF at X% growth suggests Y" — letting users draw their own conclusions.
• Sanity bounds prevent mathematical nonsense: Uncapped DCF models routinely produce "9,000% upside" for a stock trading at $50. Hard caps on growth, upside, and IV/Price ratios keep outputs actionable.
• Reinvestor awareness: High-growth companies that reinvest heavily (suppressing current FCF) receive normalized cash flow treatment to reflect long-term earnings power.

Not every stock belongs in a DCF model. The eligibility framework ensures that only companies with the financial characteristics suited to discounted cash flow analysis receive a valuation. Every gate exists for a specific mathematical or financial reason.

Required Criteria

A stock must pass all of the following gates to receive a DCF valuation:

Why Exclude Cyclicals?

DCF assumes stable, predictable cash flows that grow at a modelable rate. Cyclical businesses fundamentally violate this assumption:

• Margins mean-revert to long-term averages — current high margins are peak-cycle, not sustainable
• Terminal value calculations become unreliable when base-year FCF is at a cyclical peak
• Minor assumption changes swing intrinsic value by 5–10× because the starting cash flow is unstable
• Commodity price dependency makes forward cash flow fundamentally unpredictable via extrapolation

Coverage Statistics

As of February 2026, the eligibility gates produce the following coverage:

The starting cash flow figure is the most critical input to any DCF model. It must accurately represent the company's sustainable cash generation capability — not a cyclically inflated or temporarily suppressed number.

Company-Type-Specific Cash Flow

Different business models generate cash through fundamentally different mechanisms. The model selects the most appropriate cash flow metric for each company type:

The Reinvestor Problem

Some of the world's most valuable companies — Amazon, Nvidia, Meta — reinvest so heavily that their reported FCF dramatically understates long-term earnings power. Using actual FCF for these companies produces absurdly low intrinsic values, which would be misleading.

Reinvestor Detection Criteria

A company is flagged as a "reinvestor" when all of the following are true:

Normalized FCF Formula

When a company is flagged as a reinvestor, the model substitutes actual FCF with a normalized figure:

The 8% target margin represents a reasonable long-term FCF margin for mature technology and consumer companies. This normalization is only applied when the normalized figure exceeds actual FCF — the model never artificially deflates cash flow.

The growth rate determines how fast projected cash flows increase over the 5-year explicit forecast period. Getting this right — or at least keeping it reasonable — is essential for meaningful output.

Multi-Metric Growth Selection

Rather than relying on a single growth metric, the model evaluates multiple growth dimensions and selects the highest, subject to caps. This "best of" approach captures the strongest signal of the company's expansion trajectory:

• Revenue Growth: 5-year CAGR → 3-year CAGR → TTM (cascade from longest available)
• EPS Growth: 5-year CAGR → 3-year CAGR → TTM
• Cash Flow Growth: FCF growth for industrials, Net Income growth for banks/insurance, FFO growth for REITs
• Floor: Minimum 8% growth rate applied universally — prevents value collapse for stable but slow-growing businesses

Size-Adjusted Growth Caps

Uncapped growth rates are the primary source of absurd DCF outputs. A $2 trillion company growing at 30% would double the size of most national economies within a decade. The model applies hard growth caps based on company size:

The Weighted Average Cost of Capital (WACC) determines the rate at which future cash flows are discounted to present value. A higher WACC reflects greater risk and produces lower intrinsic values.

CAPM-Based Estimation

WACC is derived from the Capital Asset Pricing Model (CAPM) with size-specific adjustments:

Beta (β) is sourced from publicly available market data and measures the stock's sensitivity to broad market movements. A beta of 1.0 means the stock moves in line with the market; above 1.0 implies higher volatility.

Size-Adjusted WACC Bounds

Raw CAPM estimates are clamped to prevent extreme discount rates that would render the model output meaningless:

Why Clamp WACC?

Raw beta-driven WACC can produce unreasonable extremes: a stock with a beta of 2.5 would generate a 17%+ WACC, making virtually any company appear worthless in a DCF. Conversely, a near-zero beta would produce a WACC of 4–5%, inflating values beyond reason. The bounds ensure the discount rate stays within the range used by institutional practitioners.

The core engine uses a two-stage DCF model: a 5-year explicit forecast period followed by a terminal value that captures all cash flows beyond year 5 in perpetuity.

Stage 1: Explicit Forecast Period (Years 1–5)

Free cash flow is projected forward for 5 years using the selected growth rate, then each year's projected FCF is discounted back to present value:

Where g is the capped growth rate from Section 4 and WACC is the discount rate from Section 5. Each year's cash flow grows at the same rate — the model does not apply growth fade during the explicit period (this is handled by the growth caps which already reflect sustainable rates).

Stage 2: Terminal Value (Gordon Growth Model)

Beyond year 5, the model assumes the company grows in perpetuity at a fixed terminal growth rate. This is computed using the Gordon Growth Model:

The 3% terminal growth rate reflects long-run nominal GDP growth (real GDP ~2% + inflation ~1%). This is standard institutional practice — terminal growth should never exceed the long-run economic growth rate, otherwise the company would eventually become larger than the entire economy.

The terminal value is then discounted back to present value:

Enterprise Value → Equity Value → Intrinsic Value

The final intrinsic value per share follows the standard corporate finance waterfall:

Net debt is defined as total debt minus cash and cash equivalents. For companies with net cash positions (cash exceeds debt), net debt is negative, which increases equity value above enterprise value. Share counts are sourced from the most recent publicly filed quarterly report.

Point estimates create false precision. A single intrinsic value number implies a level of certainty that does not exist in financial modeling. To address this, the model produces three scenarios that bracket the most likely range of outcomes.

Scenario Definitions

Why These Specific Adjustments?

• Bear growth at 80%: A 20% haircut is meaningful but not catastrophic — it models deceleration, not collapse. Companies that would show negative FCF under bear assumptions fail the eligibility gates.
• Bear WACC +2%: Reflects elevated risk perception during periods of uncertainty — equivalent to roughly 200 basis points of additional risk premium.
• Bull growth capped at 30%: Even in the most optimistic scenario, growth cannot exceed 30% annually for 5 years. This prevents the bull case from producing unrealistic terminal values.
• Bull WACC floor of 6%: No company's cost of capital should be modeled below 6% — this is approximately the risk-free rate plus a minimal equity risk premium.

Even with growth caps and WACC bounds, certain edge-case combinations can produce mathematically correct but financially meaningless outputs. The model applies a final layer of sanity checks before publishing any intrinsic value.

Output Bounds

Valuation Status Classification

Based on the relationship between base case intrinsic value and market price:

Different business models require different valuation inputs. A bank's "free cash flow" is fundamentally different from a technology company's. The model adapts its inputs based on the company's classification:

Intellectual honesty demands acknowledging where the model falls short. These limitations are structural — they arise from the inherent nature of DCF modeling, not from implementation gaps.

1. Cyclical Businesses

Energy, basic materials, and marine shipping companies are excluded because DCF assumes stable, projectable cash flows. Cyclical businesses should be valued on mid-cycle earnings using EV/EBITDA bands and commodity cycle analysis. Our Relative Valuation model provides peer-based multiples for these sectors.

2. Narrative-Driven Stocks

Companies like Tesla, where valuation is heavily driven by narrative and future optionality (autonomous driving, energy, robotics), produce unreliable DCF outputs because minor assumption changes swing value by 5–10×. Showing "N/A" is the correct behavior — it signals that DCF is not the right tool, not that the stock has no value.

3. Pre-Revenue and Early-Stage Companies

Companies with less than $1 billion in revenue are excluded. These businesses are typically valued using revenue multiples, TAM analysis, or venture-style frameworks that are outside the scope of a DCF model.

4. M&A-Driven Transformations

The model extrapolates from historical financial data and cannot predict the cash flow impact of a major acquisition or divestiture. Post-M&A financials will flow through the model on the next update cycle, but there may be a lag of 1–2 quarters before the full impact is captured.

5. Macro Regime Shifts

The model does not directly incorporate macroeconomic variables (interest rates, GDP growth, inflation). A sharp rise in rates would increase WACC for all companies, but the model relies on the risk-free rate embedded in the CAPM formula rather than forward rate expectations. The scenario analysis partially hedges this limitation.

6. Currency Effects

For ADRs and companies reporting in non-USD currencies, financial figures are converted to USD using current exchange rates. This introduces currency risk that the model does not explicitly price — a weakening foreign currency could reduce USD-denominated fair value independent of business fundamentals.

The integrity of any quantitative model depends on the quality and timeliness of its inputs. All data used in the DCF model is derived from publicly available sources and regulatory filings.

Data Sources

Refresh Cadence

• Daily: Market prices, shares outstanding, and net debt are updated after market close. Intrinsic values are recomputed daily for the full eligible universe (~80 seconds runtime).
• Quarterly: Financial statement data is updated as SEC filings (10-Q, 10-K) become available — typically within 2–4 weeks of the reporting date.
• Continuous: The front-end caches intrinsic values for 4 hours (ISR) to balance data freshness with infrastructure efficiency.

The DCF model is versioned and updated on a defined cadence. Each version increment documents what changed and why, ensuring full audit trail transparency.

Planned Enhancements

• v2.1 (Planned): Sector-specific terminal growth rates (utilities at 2%, tech at 3.5%) to reflect industry-level growth ceilings
• v2.2 (Planned): Specialized financial-sector models for banks (using Excess Return Model) and REITs (using NAV approach) to complement the current Net Income / FFO proxy
• v3.0 (Research): Multi-stage DCF with explicit growth fade (high growth → stable growth → terminal) for companies in transition phases