Growth vs Value vs Quality

Factors, regimes, style rotation.

Track 6. Pair with Financial Statements for Traders (Course 51) and Valuation Ratios That Matter (Course 52). Cycles: market cycles & sector rotation. Risk and book construction: Risk 101, portfolio basics. Hub: stock courses.

A Screen Is Not a Factor

A cheap multiple is not a value factor. Fast sales are not a growth factor. A high return on equity, by itself, is not quality. Factors are characteristic bundles that show up together on the statements you mapped in Course 51 and in the multiples you priced in Course 52 — and they are paid for, or punished, when the rate, inflation, and earnings-growth regime changes. Treating a single P/E sort as a style is how traders buy value traps, chase duration at any price, and stamp “quality” on a brand they already like.

This course is operator language, not ticker shopping. You will define growth, value, and quality by what actually prints in filings and ratios; see how that differs from a one-ratio screen; build qualitative style-rotation intuition tied to Course 30 cycles; and separate how a discretionary trader uses a factor diagnosis from how an indexer holds a style sleeve. Academic factor research is a framework, not a DennTech backtest — this page will not invent historical premia, win rates, fees, or Sharpe figures. Dividend investing (Course 54) is the income overlay that comes next, not a fourth factor dump here.

1. A Factor Is a Bundle — Not a Ticker and Not One Ratio

When a screen says “value,” it usually means: sort the universe by one or two multiples (trailing P/E, P/B, EV/EBITDA) and take the cheap tail. That is a sort, not a factor process. In the research sense, a factor is a systematic characteristic hypothesized to help explain differences in expected return across stocks — value, profitability/quality, investment, size, momentum. In desk language, it is a diagnosis: what cash-flow duration you own, how clean the earnings are, and what price the market is paying for that package.

A single P/E screen fails as a style for reasons you already have from Course 52:

• Peak-cycle earnings shrink P/E and fake cheapness. The multiple is low because the denominator is temporarily fat.
• Loss-makers have undefined P/E and fall out of the “value” bucket even when they are cheap on sales or book.
• A 50× grower and a 12× no-growth peer are not the same economic object. Ranking them on one multiple is a category error.
• EPS vintage, dilution, and GAAP vs “adjusted” change the ranking without changing the business. If you did not write the formula and the period, you did not measure value.

Operator test: if you cannot name the statement lines that justify the label, you do not have a factor — you have a ticker anecdote. Pin terms in the stock glossary when language gets sloppy. “High-quality compounder” is marketing until it maps to margins, cash conversion, leverage, and share count.

Two other confusions to kill early. Price momentum is not growth. Relative strength versus a benchmark is a price process (momentum & relative strength); growth is a fundamental path. They overlap often. They are not the same object. Market cap is not a style. Market capitalisation changes liquidity, gap behavior, and who else is in the name. Mega-cap growth and illiquid small-cap “cheap” are different trading problems that happen to share a vocabulary.

2. Growth — Operator Definition

Growth, as a style, is the business’s claim on future scale: revenue and earnings expected to expand at a rate the market will still pay a duration premium for. It is not “the stock went up.” The stock going up is price. The duration premium is the multiple you already learned to decompose: price can rise because earnings rose, or because the market paid more per unit of earnings.

Useful identities (same algebra as Course 52; vintage still matters):

g = (X_t − X_t−1) / X_t−1
Trailing P/E = Price / LTM EPS
Earnings yield = EPS / Price  (= 1 / P/E when P/E is defined and positive)

Typical statement tells (Course 51): revenue accelerating or at least holding a high rate — compute g, do not eyeball. Gross margin defended or expanding (mix and pricing power), even if operating margin is temporarily pressured by reinvestment. Heavy reinvestment: R&D, growth capex, sometimes working-capital absorption. Free cash flow often lags net income while the firm is buying growth; that is a duration choice, not automatically a quality failure. Dilution risk: stock-based compensation and primary issuance can tax per-share growth — watch diluted EPS versus revenue, not headline sales alone.

Typical multiple tells: high trailing and forward P/E; often high EV/Sales when earnings are still thin. Low FCF yield — the market is paying for cash that is supposed to arrive later. PEG is a conversation starter about whether the multiple pays a sensible claim on the growth estimate, never a buy rule. Liquidity is not uniform: growth clusters in mega-cap platforms and in smaller high-beta names. Treat those as different execution problems.

Main failure mode: duration shock. When discount rates rise or the growth rate decelerates, the multiple can compress even while sales are still positive. The tape looks like “the story died.” It often died in the multiple first. Pair a growth diagnosis with relative strength only as timing, not as proof of the fundamental label. Verify multi-year growth rates with the percentage change calculator so you are not narrating a 28% print as “about 30%.”

3. Value — Operator Definition

Value is a cheap claim on current or cyclically normal earning power and/or assets. It is not a personality type, not “old economy,” and not automatically a high dividend yield. Yield is a distribution choice. Cheapness is a price-versus-fundamental claim. They can sit on the same name. They are not the same factor.

Typical statement tells: slower or negative top-line growth. Margins that may be mid-cycle, trough, or peak — you must say which, or the cheap multiple is uninterpretable. More tangible assets; book value can be a meaningful anchor (financials, asset-heavy industrials) and a weak one (asset-light software). Free cash flow can be strong relative to reported earnings if capex is light — or weak if the cheapness is distress. Leverage is the fork: some “cheap” names are equity options on a debt stack. Cheap equity is not cheap firm value. That is why Course 52 insisted on EV metrics next to P/E.

Typical multiple tells: low P/E, low P/B, high earnings yield, high FCF yield. EV/EBITDA may disagree with P/E if net debt is large — the disagreement is information, not a data bug. A high dividend yield can appear in this bucket; treat it as a cash-return overlay and send the payout/FCF work to Course 54 rather than promoting yield into a style label.

Main failure mode: the value trap. The multiple is low because earning power is structurally impaired, the industry is in secular decline, or you are looking at peak-cycle earnings dressed as a bargain. Cheap is a starting hypothesis. Without a catalyst, a cash-and-leverage pass, and an honest cycle note, it is a screen result. Mean-reversion in the multiple requires the denominator to be real.

4. Quality — Operator Definition

Quality is persistence and cleanliness of earning power — margins, cash conversion, conservative capital structure, limited dilution — not “we like the brand” and not a high dividend yield. A quality firm may or may not distribute cash. A high yield can sit on a deteriorating franchise. Do not let Course 54’s vocabulary leak backward into this diagnosis.

Typical statement tells: stable or high gross and operating margins versus peers, without a one-period spike you cannot explain. Cash from operations and free cash flow that track net income over several periods (allowing for growth working capital). Conservative leverage and identifiable liquidity; a maturity wall is not the thesis. Share count stable or declining from buybacks funded by FCF, not from debt spirals dressed as “per-share value.” Returns on capital that do not require heroic growth to look acceptable. In the EXAMPLE below, ROE is computed from stated net income and book equity — it is not a universal cutoff, and it is not a DennTech screen threshold.

A compact quality identity you can actually compute:

FCF conversion = FCF / Net income
ROE = Net income / Book equity  (point-in-time; accounting-sensitive)

Typical multiple tells: usually neither the cheapest nor the richest tail. Moderate P/E with FCF that actually backs the earnings. Low-quality cheap and high-quality expensive can both be bad trades. Quality is a filter on the other two styles as much as it is a sleeve of its own: value without quality is how traps get funded; growth without quality is how duration plus accounting theater gets funded.

Main failure mode: paying a crowded quality premium into mean-reverting peak margins, or mistaking a cyclical at the top of its margin range for a compounder. Secondary failure: using beta as a quality score. Lower beta can mean defensive cash flows, or a sleepy name with no catalyst and no liquidity when you need the exit. Beta is a risk statistic, not an earnings-quality metric.

5. Side-by-Side — Statement Tells, Multiple Tells, Failure Modes

Read this table as a checklist, not as a scoring model. If the statement column and the multiple column disagree, you do not yet have a style — you have a question. TODO:VERIFY any live-vendor percentile cuts; none are used here.

6. Style Rotation — Regime Intuition, No Fake Scoreboard

You do not need a 1926–2025 return table to use the intuition. You need a regime map in the same family as market cycles and sector rotation (Course 30). Style leadership is a relative bid among duration, current cash, and balance-sheet scarcity. It is not a calendar, and it is not “the best factor for 2026.”

Qualitative map — directional language only, no invented hit rates:

• Falling real rates, easy financial conditions, accelerating earnings growth. The market often pays up for long-duration growth (cash promised later). Multiples expand. FCF yield looks “too low” until the path is questioned. Growth can still fail name-by-name if the growth rate was never real.
• Rising inflation and discount rates; late-cycle or commodity impulse. Short-duration cash and asset-backed value often get a relative bid. Growth multiples can compress even if the companies still grow. Value without a cycle note still walks into peak-earnings traps.
• Tight credit, recession scare, funding stress. Quality — balance sheet and earnings stability — often becomes the scarce object. Value without quality is distress. Growth without a path to cash is duration plus credit risk stacked.

None of those sentences is a timing system. Leadership rotates inside the cycle and can stay “wrong” relative to the macro story for longer than a $10,000 account’s patience. Sector rotation and style rotation overlap but are not identical: you can have cheap growth inside a hot sector and expensive value inside a hated one. Do the name-level work. Then, when you execute, use US session clocks so you are not confusing a factor diagnosis with opening-auction noise. Classifying a name is research. The print is a separate problem.

Academic factor models — value and size, profitability and investment, “quality-minus-junk” as named research frameworks — exist so students have vocabulary. They are not a DennTech backtest. We will not quote factor CAGR, Sharpe, or win rates here. If you later read published tables, treat them as literature with their own definitions, universes, and costs — not as a forecast and not as this site’s product feature set.

7. How a Trader Uses Factors vs an Indexer

Indexer job: own a style sleeve — a growth, value, or quality index (or a smart-beta product that reconstitutes on published rules) — and accept that sleeve’s sector weights, turnover, and definition drift. The job is exposure. Rebalance is the product’s calendar, not your setup. You are not required to diagnose each name. You are required to know what definition you bought, because “value” in one index is not “value” in another.

Trader job: use the factor as a diagnosis of what you are being paid for, then require a catalyst, a structure, and a dollar invalidation. You may be long a growth name as a swing because relative strength and the cycle agree, while refusing to “be in growth” as a standing identity. You may fade an expensive quality premium when the tape and the margin path disagree. That is a process, not a personality.

Book rules still bind. Five cheap names in one industry is sector concentration with a value sticker — see portfolio basics. Dollar risk still binds — see Risk 101. The label does not increase the dollars you are allowed to lose. Size with the risk calculator: the live UI is crypto-branded; for stocks treat the unit as shares and round down. No stock-native calculator exists on this site. Do not round up into a share you cannot fully fund.

A practical discretionary workflow, in order — do not invert it so the style label overrides risk:

1. Statements pass (Course 51): growth path, margins, cash conversion, leverage, share count.
2. Multiple pass (Course 52): the right primary ratio for the business type, same vintage as peers.
3. Style diagnosis: growth, value, quality, or “mixed / unclear.” Unclear is a valid output. Stand aside.
4. Regime note from Course 30: what is the market currently paying for — duration, current cash, or scarcity of clean earnings?
5. Catalyst and tape: why now, where are you wrong on the chart, what is RS doing.
6. Size: dollars to invalidation, notional cap, round shares down. Journal the diagnosis in one sentence.

Dividends do not enter this list as a fourth style. If the name pays a distribution, record yield and payout versus FCF as an overlay and take the full income mechanics in Course 54. A quality compounder that pays a modest dividend and a shrinking firm with an 8% yield are not in the same factor bucket just because both “pay you to wait.”

EXAMPLE — Three Hypothetical Names, $10,000 Book

EXAMPLE. Illustrative filings-style figures, not live quotes, not a recommendation, and not a backtest. Account: $10,000 cash. Risk budget per idea: 1% of equity = $100 (Course 7). Shares always rounded down. Notional cap for this book: 10% of equity = $1,000 per name. Use the tighter of dollar-risk size and notional cap. No leverage in this example.

Name G (growth-like). Price $80.00. LTM diluted EPS $1.60 → trailing P/E = 80 / 1.60 = 50.0×. Earnings yield = 1.60 / 80 = 2.0%. Revenue t−1 $1,000m, revenue t $1,280m → g = (1,280 − 1,000) / 1,000 = 28.0%. FCF $20m; equity market cap $2,500m → FCF yield = 20 / 2,500 = 0.80%. Thesis invalidation $76.00. Risk per share = 80 − 76 = $4.00. Shares by $100 risk = floor(100 / 4) = 25. Notional at 25 × $80 = $2,000, which breaks the 10% notional cap. Notional-capped shares = floor(1,000 / 80) = 12. Notional = 12 × 80 = $960. Dollar risk at the $4 stop = 12 × 4 = $48 (under the $100 budget). Binding constraint: notional cap, not the 1% stop. Classification: expensive growth on P/E, starved on FCF yield, high computed sales growth. That is a diagnosis. It is not a buy.

Name V (value-like). Price $24.00. LTM EPS $3.00 → P/E = 24 / 3 = 8.0×. Earnings yield = 3 / 24 = 12.5%. Revenue t−1 $800m, t $768m → g = (768 − 800) / 800 = −4.0%. FCF $96m; market cap $1,200m → FCF yield = 96 / 1,200 = 8.0%. Invalidation $21.00. Risk per share = $3.00. Shares by $100 risk = floor(100 / 3) = 33. Notional = 33 × 24 = $792 (under the $1,000 cap). Dollar risk = 33 × 3 = $99. Binding constraint: the $100 risk budget. Classification: cheap on P/E and FCF yield with a shrinking top line. That is the value-trap question, not an answer. You still need the cycle note (peak vs trough earnings) and a catalyst before this is a trade.

Name Q (quality-like). Price $55.00. LTM EPS $2.75 → P/E = 55 / 2.75 = 20.0×. Earnings yield = 2.75 / 55 = 5.0%. Revenue t−1 $500m, t $530m → g = 30 / 500 = 6.0%. Net income $220m, book equity $1,100m → ROE = 220 / 1,100 = 20.0%. FCF $198m vs net income $220m → FCF conversion = 198 / 220 = 90.0%. Invalidation $51.00. Risk per share = $4.00. Shares by $100 risk = floor(100 / 4) = 25. Notional = 25 × 55 = $1,375, over the $1,000 cap. Notional-capped shares = floor(1,000 / 55) = 18. Notional = 18 × 55 = $990. Dollar risk = 18 × 4 = $72. Binding constraint: notional cap. Classification: mid-multiple, cash-backed earnings, moderate growth. Not a dividend story. Not “cheap.” Not “a compounder you must own.”

Sanity-check the three growth rates (−4.0%, +6.0%, +28.0%) in the percentage change calculator. Size G and Q from the notional cap, V from dollar risk. Do not pick a winner from this table. The pedagogical point is the opposite: the factor label tells you which failure mode to hunt — duration for G, trap/cycle for V, crowded premium or peak-margin masquerade for Q — and the book math tells you that conviction does not override the tighter of risk dollars and notional.

8. Common Mistakes and Limits

• Equating a P/E sort with value. Peak earnings, losses, and sector mix will lie to you. Write the formula and the cycle note.
• Equating a rising stock with growth. That is momentum. Growth is the fundamental path. Trade them as different objects even when they agree.
• Equating dividend yield with quality. Yield is an overlay (Course 54). High yield on a shrinking franchise is often the opposite of quality.
• Using beta as a quality score. Beta measures co-movement with the market. It does not measure cash conversion or leverage.
• Inventing a factor scoreboard. Do not paste a “quality beat value by X% since 1990” line into a journal. If you did not compute it from a specified universe, you do not have it. Academic papers are literature, not this course’s result set.
• Style identity as a personality. “I am a value investor” is not a process. The regime can make that identity expensive for a long time.
• Ignoring mixed names. Many real firms are growth-at-a-reasonable-price, cyclical-quality, or cheap-for-a-reason. Force-fitting a single label creates fake conviction.
• Letting the label override size. In the EXAMPLE, Name G’s 1% risk budget wanted 25 shares; the notional cap allowed 12. The cap won. That is the correct outcome.
• Timing a factor at the open. Diagnosis is research. Execution uses session structure. Do not confuse the two.
• Treating an indexer product as a trading edge. A style sleeve gives you exposure to a definition. It does not give you a setup, an invalidation, or a journal.

Limits. Factors do not time entries. They do not replace structure, event risk, or book caps. They do not survive bad data vintages. They do not make a 10% notional in one name “safe” because the story is quality. Markets can pay the “wrong” style for longer than your horizon. This course is educational — not personalized investment advice, not a model portfolio, and not a claim that any style outperforms from here.

Pre-Trade / Research Checklist

1. Business one-liner: what it sells, to whom, how cash is generated.
2. Statement pass: revenue path, margins, FCF vs net income, leverage, diluted share count (Course 51).
3. Multiple pass: sector-appropriate primary ratio, trailing and forward if profitable, same vintage as peers (Course 52).
4. Compute growth rates with the formula; verify in the percentage change calculator. Do not round a 28% print to a slogan.
5. Style diagnosis: growth / value / quality / mixed / unclear. Write one sentence that a skeptic could falsify.
6. Failure mode named: duration, trap/cycle, crowded quality premium, or “I do not know.”
7. Regime note (Course 30): duration, current cash, or clean-earnings scarcity — qualitative, not a 2026 call.
8. Dividend overlay recorded if relevant (yield, payout vs FCF) — then parked for Course 54. Not used as a quality stamp.
9. Catalyst and tape: why now; RS vs the relevant index; invalidation price.
10. Size: $ risk from Risk 101; notional cap from the book; shares from the risk calculator (unit = shares, round down). Tighter rule wins.
11. Session plan if you will execute: know the clock; do not classify the factor in the opening auction.
12. Journal: “This is ___ because ___ ; wrong if ___ ; sized to ___ shares.”

Tools for This Course

• Percentage Change Calculator — verify revenue, EPS, and FCF growth rates from the formula (as in the EXAMPLE: 28.0%, −4.0%, 6.0%).
• Risk Calculator — live crypto UI; for stocks treat the unit as shares and round down. No stock-native calculator exists. Binding cap in the EXAMPLE was notional on G and Q, dollar risk on V.
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