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Systematic & Quantitative Valuation

Common Stocks and Uncommon Profits

Philip A. Fisher · first published 1958

Fisher's case: the biggest long-run gains come from a few outstanding growth companies held for years, and finding them takes research into the business and its management, not just the balance sheet. His fifteen questions, the scuttlebutt method and three narrow reasons to sell are the working tools.

The big picture

Philip A. Fisher started out as a securities analyst in San Francisco in 1928 after leaving the newly founded Stanford Graduate School of Business, and in 1931 set up his own investment counselling firm, Fisher & Company, which he ran for decades. He later returned to Stanford to teach its investment course. Common Stocks and Uncommon Profits was first published by Harper & Brothers in 1958. Wiley reissued it in 1996 in its Investment Classics series, together with two later Fisher books, Conservative Investors Sleep Well and Developing an Investment Philosophy, and an introduction by his son Ken Fisher, the founder of Fisher Investments.

The book's core bet runs against the bargain-hunting school of its time. Fisher argues that the investor's real prize is a company that can keep growing sales and profits well above the average for many years, and that such companies are rare enough that it pays to know a few of them very well rather than own many of them a little. Finding them is mostly qualitative work: how good the products and the research are, how strong the sales force and margins are, and above all how capable and honest the managers are. Fisher's method for getting at those answers is what he calls scuttlebutt, the business grapevine: talk to customers, suppliers, competitors, former employees and industry experts, and piece the picture together. Once a company passes, he argues, the holding should be kept through ordinary market swings and sold only for a small number of specific reasons.

Why it matters now: in 2026 the market's largest weights are growth companies whose value depends on research output, pricing power and management quality over a decade, exactly the things a price-to-book screen does not see. Warren Buffett has credited Fisher as an influence alongside Graham, and the book remains the standard reference for the qualitative side of that analysis.

Fisher's fifteen points, scuttlebutt research and the three reasons to sell a few outstanding growth companies, researched deeply, held for years THE FIFTEEN POINTS · FOUR GROUPS GROWTH RUNWAY 01 market room 02 next products 03 research payoff 04 selling power MARGINS + EDGE 05 margins 06 margin defence 10 cost controls 11 industry edge PEOPLE 07 workforce 08 exec climate 09 bench depth STEWARDSHIP 12 long horizon 13 low dilution 14 candour 15 integrity score each 0–5 · point 15 is a knockout: doubt on integrity rules a company out SCUTTLEBUTT · EVIDENCE FROM AROUND THE COMPANY customers suppliers competitors former staff experts filings LOG PER POINT source · what learned point 1–15 · +/− many biased sources pointing the same way = a usable picture; an unlogged score is an opinion WHEN TO SELL · THREE REASONS 1 · THE FIRST ANALYSIS was wrong on the facts 2 · THE COMPANY CHANGED no longer meets the points 3 · A CLEARLY BETTER ONE rarely, on strong evidence NOT ON THE LIST a forecast of a market fall a big rise with no change a round-number gain hold the few you know well; judge the business, not the quote SCHEMATIC — THE BOOK'S QUESTIONS IN CLOSELOOKNET'S WORDS; THE 0–5 SCALE IS THE PACK'S
The book grades a growth company on fifteen questions about its business and its managers, builds the evidence from people around the company, and names only three reasons to part with a holding once it passes.

The 3 strategic pillars

  1. The fifteen points: grade the business and the people

    The book sets out fifteen questions a company should answer well before an investor commits. They cover the growth runway (enough market for years of sales growth, a pipeline of next products, research that pays for itself, a strong sales organisation), the quality of profits (margins worth having, active work to defend them, sharp cost controls, industry-specific signs of an edge), the people (good labour relations, a healthy executive climate, depth beyond one or two stars) and stewardship (a long-range view of profits, growth that does not require heavy share issuance, candour when things go wrong, and integrity). Fisher does not expect a company to score perfectly on every point.

    Integrity is treated differently from the rest. The book argues that a company can fall short on several points and still be an outstanding holding, but that serious doubt about management's honesty toward shareholders rules it out whatever else it offers. In a scorecard that means integrity works as a knockout, not as one more item in an average. The practical test for candour is simple: read how management reported its last bad quarter or failed product, and compare the tone with how it reports good news.

  2. Scuttlebutt: evidence from around the company

    Fisher's research method is to collect views from people who deal with a company every day. Customers know whether its products are better, competitors know whether it wins, suppliers know how it pays and plans, former employees know how it is run. Any single source is biased; many sources pointing the same way are, in the book's view, a surprisingly reliable picture of a company's strengths and weaknesses.

    The method only works if the notes are kept. A log with one row per source (date, type of source, what was learned, which of the fifteen points it bears on, whether it supports or weakens the score, and how confident the reader is) turns scattered conversations into evidence per point. The useful output is the gap list: points that were scored confidently but have no logged source behind them. Today much scuttlebutt also comes from filings, earnings-call transcripts, job postings and employee reviews, which are public and free.

  3. Hold for years, sell for three reasons only

    The book names three reasons to part with a holding: the original analysis turned out to be wrong; the company has changed and no longer meets the fifteen points as it once did, for example after a change of management or once its markets are exhausted; or a clearly more attractive opportunity has been found, which Fisher says should happen rarely and only on strong evidence. Selling on a forecast that the whole market is about to fall, or only because the price has risen a lot, is not on the list; the book argues that such moves usually cost more than they save.

    The rest of the book supports long holding. Fisher warns against spreading money across too many names the investor cannot know well, against haggling over small price differences on a company worth owning for years, and against treating dividends as a sign of quality in a company that can reinvest at high returns. On timing he suggests that the best entry points often come when a temporary problem, such as the start-up costs of a new plant, depresses profits and the price before the underlying growth shows through again.

What a Closelooknet reader does with it

The working use is a disciplined file on each growth company a reader follows: fifteen scores from 0 to 5, one line of evidence behind each, a log of where that evidence came from, and a sell checklist written down before the price moves. The first mistake it prevents is paying up for a growth story on the numbers alone, without checking whether the research, the sales force and the managers can keep the growth going. The second is the opposite error, selling a sound company on a market scare or on a big price rise and then struggling to find anything as good. The evidence log adds a third check: a score that no source supports is an opinion, and the gap list shows where the next conversation or filing should go. The book gives the questions and the sell reasons, not a scoring system. The 0–5 scale, the weights, the integrity knockout threshold and the bands in the pack are Closelooknet's own heuristic.

The bridge to the Closelooknet approach

Fisher sits at the opposite end of the shelf from Graham's The Intelligent Investor. Graham protects the buyer with a measurable margin of safety, wide diversification and little interest in management; Fisher accepts a full price for an exceptional business, owns few names and spends most of his effort on the people. Greenwald's Value Investing supplies the link between the two: growth only adds value behind a barrier to entry, and the fifteen points are a qualitative way to find that barrier, which the glossary calls an economic moat. Christensen's The Innovator's Dilemma is the warning attached to points 2 and 3: a company can run excellent research for its best customers and still miss the cheaper product that replaces it. Quantitative Value shows the rules-based alternative that Fisher's judgement-heavy method is often compared with. On Closelooknet, the Company Score is the numbers-first counterpart to the fifteen points, the Screener narrows a universe before the qualitative work starts, and the HALO Growth 100 tracks the kind of long-run growth companies the book is about. The gross margin, operating margin, ROIC and revenue quality entries define the numbers behind points 5, 6 and 10. The pack runs on the reader's own judgement; its output is a research note, not a signal.

Action-Kit — from theory to practice

Tooling & data

What you needWhere to get itCost
Company filings Segment sales, R&D spending, margins over time, share count history for dilution (point 13), related-party dealings and executive pay for integrity (point 15) SEC EDGAR (US) and company investor-relations pages Proxy statements show pay, option repricing and related-party transactions; annual reports show how management explains a bad year. Free
Earnings-call transcripts and shareholder letters Candour test (point 14): compare how management describes setbacks with how it describes successes, across several years Company investor-relations pages Many companies post recordings and transcripts; aggregator sites add search but often charge. Free
Employee reviews Scuttlebutt on workforce and executive climate (points 7 and 8): ratings of management, turnover signals, promotion culture Glassdoor Self-selected reviews: read the trend and the recurring themes, not single comments. Freemium
Industry margin benchmarks Whether a company's margins are worth having relative to its industry (points 5 and 6) Aswath Damodaran's datasets (NYU Stern) Updated each January; global and regional files are available. Free

The formulas

  • Fifteen-points score

    Score % = Σ(wᵢ × sᵢ) / (5 × Σwᵢ over scored points) × 100
    • sᵢ: your score 0–5 per point (blank = not scored)
    • wᵢ: weight per point (pack default 1.5 for market room, margins and integrity, 1.0 otherwise)

    Group scores use the same formula on four groups: growth runway, margins and edge, people, stewardship. Scale, groups and weights are Closelooknet's own heuristic.

  • Band with integrity knockout

    Band = INCOMPLETE if scored < 12; else FLAGGED if s₁₅ < 3; else STRONG if Score % ≥ 70, MIXED if ≥ 50, else WEAK
    • s₁₅: integrity score
    • scored: number of points with a score

    The knockout follows the book's view that doubt about integrity rules a company out; the thresholds are the pack's.

  • Evidence coverage

    Evidenceᵢ = count of log rows with company = C and point = i; gaps = scored points with Evidenceᵢ = 0
    • Scuttlebutt log: date, source type, what was learned, point 1–15, direction +1/0/−1, confidence 1–3

    Direction and confidence fields are the pack's addition to the book's method.

  • Sell-review helpers

    Drift = Score %(first review) − Score %(now), flagged ≥ 10; Gap = Score %(alternative) − Score %(now), flagged ≥ 20
    • Score % recorded when the holding was first reviewed
    • Score % of an alternative, scored the same way

    Numeric helpers for the book's second and third reasons; the first reason (the original analysis was wrong) is a yes/no judgement. Thresholds are the pack's heuristic.

Applied Pack · free members

Fisher Applied Pack

The fifteen-points growth-quality scorecard: score each point 0–5 on your own evidence, log every scuttlebutt source against the point it informs, and walk the book's three sell reasons before the price moves. Software for your own research, never signals.

  • Fisher_Fifteen_Points_Scorecard.xlsx — READ ME; Fifteen Points (amber weights and 0–5 scores for three EXAMPLE_ companies → weighted score %, group scores, strong and weak counts, logged evidence per point); Evidence Notes; Scuttlebutt Log (source, date, what was learned, point, direction, confidence); Summary (score, integrity check, evidence gaps, band, rank); Sell Discipline (the book's three reasons with drift and gap helpers, plus three reasons the book does not accept)
  • fisher_scorecard.py — stdlib-only: reads a CSV of your own scores and prints the ranked table with bands and the three weakest points per company; with --log it lists scored points that have no logged evidence
  • scores_sample.csv — EXAMPLE_ rows showing the input format
  • README.txt — which parts are the book's and which are the pack's heuristic, the fifteen points in short form, formulas, how to run, and the educational-use disclaimer

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Closelooknet publishes a market diary, not investment advice. This condensed read restates the book's ideas in our own words for education — for the author's full argument, go to the source.