Valuation Factors

Valuation Factors

Valuation is the discipline of deciding what a security is worth. Market price is what investors are paying right now; intrinsic value is what the security would be worth if you priced it from underlying fundamentals. The gap between the two is the opportunity. The Series 66 tests two broad approaches — relative valuation through multiples (P/E, P/B, P/S, dividend yield) and absolute valuation through cash-flow models (chiefly the Gordon Growth Dividend Discount Model). You'll need fluency with both, and a clean read on when each one breaks.

Why valuation matters

Valuation factors help investors and advisers decide whether a security is overpriced, underpriced, or fairly valued relative to its fundamentals. They turn a stock's price — a number that by itself means almost nothing — into a comparable quantity that can be measured against earnings, book value, sales, or expected cash flows.

The Series 66 doesn't ask you to forecast next quarter's EPS or build a discounted cash flow model. It asks you to recognize which valuation tool fits a given situation, to interpret what a ratio is telling you, and to spot the cases where a standard metric quietly fails (negative earnings, no dividends, intangible-heavy businesses). Get the framework right and the calculations are usually one division problem.

Intrinsic value vs. market value

Every fundamental valuation question turns on a single distinction:

When intrinsic value exceeds market price, the security is undervalued — the market is paying less than the fundamentals justify, and a fundamental analyst would consider it a buy. When market price exceeds intrinsic value, the security is overvalued. When they're roughly equal, the security is fairly valued.

The whole valuation toolkit exists to estimate intrinsic value, so it can be compared against the observable market price. Different tools use different anchors — earnings, book value, dividends — but they all serve the same goal.

Two approaches to valuation

Two broad families of valuation methods show up on the Series 66:

Section 2 and Section 3 work through the most-tested multiples. Section 4 introduces the Gordon Growth DDM, the Series 66's canonical cash-flow valuation model. Section 5 connects both approaches to the growth-vs-value investing framework.

Price-to-earnings (P/E) ratio

P/E is the most widely used valuation metric. It tells you how much investors are willing to pay for each dollar of the company's current earnings. A P/E of 20 means the market is paying $20 today for $1 of annual earnings — effectively a 20-year payback if earnings stay flat.

• High P/E — investors expect high future growth (a growth stock), or the stock is overvalued and ripe for a correction. The number itself doesn't say which.
• Low P/E — the stock may be undervalued (a value-investing opportunity), or the market sees real problems ahead (declining business, regulatory risk, cyclical downturn). Again, the number alone doesn't decide.

Trailing vs. forward P/E. Trailing P/E uses the past 12 months of actual reported earnings — observable but backward-looking. Forward P/E uses analyst projections for the next 12 months — relevant but only as accurate as the projection. For a growing company, forward P/E will be lower than trailing P/E because the projected earnings are higher.

Interpreting P/E in context

P/E means nothing in isolation. It only acquires meaning against a benchmark. Consider two tech companies in the same year:

What the adviser concludes: GrowthCo investors are paying $40 per dollar of current earnings — they're betting on rapid earnings growth to justify the premium. ValueCo investors pay only $10 — the market expects slower growth or sees higher risk. Neither is inherently "better." A growth investor with a long time horizon may prefer GrowthCo; an income-focused investor may prefer ValueCo. The right answer depends on the client's objectives and time horizon.

PEG ratio — growth-adjusted P/E

A high P/E can mean the stock is overvalued, or it can mean the market expects strong future growth. The PEG ratio is an attempt to disentangle the two:

PEG normalizes P/E by the expected growth rate. A company with a P/E of 30 and 30% expected growth has a PEG of 1.0. A company with a P/E of 30 and only 10% expected growth has a PEG of 3.0 — the same P/E but a much weaker case.

• PEG below 1.0 — suggests the stock may be undervalued relative to its growth rate.
• PEG around 1.0 — the rough industry rule of thumb for "fairly valued" given growth (popularized by Peter Lynch).
• PEG above 1.0 — suggests the stock may be overvalued relative to its growth, even if its absolute P/E looks attractive.

PEG only works for companies with positive expected growth, and it's only as reliable as the growth projection feeding it.

When P/E breaks down

The P/E ratio has well-known limitations the Series 66 likes to test:

• Negative earnings. Dividing market price by a negative EPS gives a negative number, which has no useful interpretation. Many early-stage and turnaround companies report losses; P/E is simply not applicable. Use P/S, P/CF, or DCF instead.
• Cyclical companies. Heavy industrials, commodity producers, and other deeply cyclical businesses can post huge earnings at the cycle peak and losses at the trough. A trailing P/E swings wildly with the cycle; use normalized earnings (average earnings across the cycle) to get a meaningful number.
• Accounting differences. Two companies in the same industry may report very different EPS purely because of accounting choices (depreciation methods, inventory accounting, one-time charges). P/E comparisons assume the EPS denominators are constructed similarly — not always true.
• No accounting for growth. A P/E of 25 for a fast grower and a P/E of 25 for a no-growth company are not the same investment. PEG addresses this; raw P/E doesn't.

Price-to-book (P/B) ratio

Where book value per share = (Total shareholders' equity − preferred equity) ÷ common shares outstanding. Book value is the company's accounting net worth: what the balance sheet says the equity is worth if you sold the assets and paid off the liabilities.

• P/B > 1 — market values the company above its book value. Common for companies with strong intangible assets, brand value, or expected growth. Most companies in the broad market trade at P/B above 1.
• P/B = 1 — market values the company exactly at its accounting net worth.
• P/B < 1 — market values the company below its accounting book value. Could indicate an undervalued opportunity (a value-investing entry point) or a real problem (asset write-downs ahead, declining business, financial distress).

The interpretation always requires context. A bank trading at P/B of 0.7 might be a recovery opportunity or it might be flagging credit concerns the market sees that the balance sheet hasn't yet caught up to.

When P/B is most useful (and when it isn't)

P/B is particularly relevant for analyzing:

• Banks and financial institutions — their main assets (loans, securities) are marked close to market value, making book value a meaningful anchor for what the franchise is worth.
• Real estate and insurance companies — property holdings and investment portfolios provide a tangible, marked-to-market asset base.
• Companies in financial distress — P/B below 1.0 may indicate the market values the company below its potential liquidation value.

P/B is much less useful for:

• Technology and software companies — most of the value is in intellectual property, software platforms, network effects, and human capital, none of which appears on the balance sheet in any meaningful way. A software firm can trade at P/B of 10 or 20 without being unusual.
• Brand- and service-driven businesses — consumer brands, advertising agencies, professional services. Few tangible assets to measure; intrinsic value lives mostly in goodwill and reputation.

The principle: P/B works well when book value is a fair proxy for economic value. It works poorly when most of the value is intangible.

Price-to-sales (P/S) and price-to-cash-flow (P/CF)

When earnings are unreliable, two alternative multiples step in.

P/S is most useful when earnings are negative, volatile, or distorted by one-time items. Revenue is the cleanest top-line measure: it's harder to manipulate than earnings, and it exists even for unprofitable companies. P/S is commonly used for early-stage growth companies, cyclical companies near a trough, and companies with one-time non-cash charges (asset write-downs, restructuring expenses).

P/CF uses operating cash flow rather than reported net income. Cash flow excludes non-cash items like depreciation and amortization, so it can be a more honest measure than earnings for capital-intensive businesses (real estate, telecom, transportation) where depreciation dominates the income statement. P/CF is typically lower than P/E for such companies because cash flow exceeds earnings when depreciation is heavy.

Dividend yield — the cash-income return

Dividend yield expresses the dividend as a percentage of the current stock price — effectively the cash income an investor earns just from holding the share, before any capital appreciation. A stock trading at $50 paying $2 in annual dividends has a 4% dividend yield.

• High dividend yields are characteristic of mature, slower-growth companies — utilities, regulated industries, established REITs, big-name consumer staples — that return a large share of earnings to shareholders rather than reinvesting.
• Low or zero dividend yields are characteristic of growth-oriented companies that reinvest earnings back into the business (technology, biotech, early-stage industrials).

A trap to watch: a very high dividend yield (say, 9%+) is sometimes a warning rather than an attraction. If the stock price has dropped sharply, the yield mathematically rises even if the dividend hasn't changed — and the price drop may signal the dividend is at risk of being cut. The yield looks fat right up until management announces the cut, at which point the yield collapses and the stock often drops further. Always pair yield with the payout ratio (next block) and the company's earnings stability.

Dividend payout ratio

The yield tells you what fraction of the stock price the dividend represents. The payout ratio tells you what fraction of earnings the dividend represents:

A company with $4 EPS and $1 in annual dividends has a 25% payout ratio — it returns 25% of earnings as dividends and retains the other 75% to reinvest in growth, pay down debt, or buy back shares. The complement is the retention ratio (1 − payout ratio), which is the share of earnings kept inside the company.

• Low payout (0-30%) — typical of growth companies retaining capital to fund expansion.
• Moderate payout (30-60%) — balanced between income and reinvestment, common for mature established firms.
• High payout (60-90%) — characteristic of mature, stable companies (utilities, REITs, consumer staples) with limited reinvestment opportunities.
• Payout above 100% — the company is paying more in dividends than it's earning. Unsustainable in the long run; the dividend is likely funded by cash reserves, asset sales, or debt, all of which eventually run out.

The Gordon Growth Dividend Discount Model

The Dividend Discount Model (DDM) is the Series 66's canonical absolute-valuation tool. In its simplest, most-tested form — the Gordon Growth Model — it assumes a company will pay a dividend next year that grows at a constant rate forever, and computes the present value of that infinite stream:

where

• P₀ = the stock's intrinsic value today
• D₁ = the expected dividend one year from now (= D₀ × (1 + g))
• k = the investor's required rate of return
• g = the constant annual dividend growth rate (must be less than k)

Worked example. A stock just paid an annual dividend of $2.00 (D₀). Dividends are expected to grow at 5% per year forever. The investor's required return is 10%. What's the stock's intrinsic value?

If the stock currently trades below $42, a DDM-using analyst would consider it undervalued. Above $42, overvalued. At $42, fairly valued.

When DDM works — and when it doesn't

The Gordon Growth Model is mathematically elegant but practically narrow. It produces a meaningful number only when several conditions hold simultaneously:

• The company pays a dividend. No dividend, no model. DDM is useless for non-dividend payers (most early-stage tech, biotech, or growth companies that retain everything).
• The dividend is stable and predictable. Cyclical or erratic dividend streams violate the constant-growth assumption.
• Growth is constant. Real companies have varying growth rates over different life-cycle stages — but the simple Gordon model assumes one rate forever. More sophisticated multi-stage DDMs exist; the Series 66 focuses on the single-stage version.
• Required return exceeds growth (k > g). If g equals or exceeds k, the denominator becomes zero or negative and the model produces nonsense (infinite or negative price). When testing, the exam usually picks growth rates well below required returns.

Best fit: mature, stable, dividend-paying companies with a clear and predictable dividend history — utilities, consumer staples, real estate trusts, large-cap mature industrials. Bad fit: growth companies, cyclicals, non-dividend payers, recent IPOs.

Growth vs. value — the investing framework

Multiples vs. DCF — pros and cons

Section 1 introduced the two broad valuation approaches. With the toolkit now built out, the trade-offs come into focus.

In practice, professional analysts use both: DCF/DDM to estimate intrinsic value, multiples to triangulate and sanity-check the result. The Series 66 wants you to know that neither approach is universally superior — each has situations where it's the right tool.