In his October 7, 2026 conversation with Norway's sovereign wealth fund CEO Nicolai Tangen, Egerton Capital founder John Armitage said good companies need moats, strong management and sound capital allocation. He highlighted pricing power and criticized EV/EBITDA valuation because depreciation is a real cost. Armitage also warned that overusing AI could lead to “brain degradation.” Discussing Egerton's underperformance that year, he said the holdings would eventually make money if the figures supporting them remained valid.
John Armitage shared his 30-year investment methodology in a podcast: good companies must possess a moat, excellent management, and capital allocation capabilities (as exemplified by Berkshire Hathaway's transformation from a textile mill). He first determines whether a company is worth investing ti
John Armitage, founder and Chief Investment Officer of Egerton Capital, engaged in an in-depth conversation with Nicolai Tangen (CEO of Norges Bank Investment Management). Armitage shared the core framework of his 30-year investment methodology: good companies must simultaneously possess a moat, excellent management, and capital allocation ability; pricing power is a more important signal than most other factors; modeling should focus on key variables rather than excessive detail. He also discussed how to build positions slowly, identify sell signals (such as reducing positions on even slight earnings disappointments), his strong skepticism toward EBITDA valuation, and the dual impact of AI on both the investment industry and human cognitive ability — warning that over-reliance on AI leads to "brain rot."
Armitage argues that a good company and a good investment are two different things. A good company requires three elements:
1. Moat: But a moat alone is not enough — Boeing under the previous CEO and Rolls Royce before its current excellent CEO took over both had moats but became "burning platforms."
2. Management: The wrong management can destroy the value of a moat.
3. Capital Allocation: A company's theoretical value is the discounted present value of its future cash flows, and how those cash flows are reinvested is crucial. He cites the example of Berkshire Hathaway — originally a New England textile mill that was eventually shut down, but through capital allocation became what it is today.
Armitage says that when faced with a new idea, he first asks two questions:
"The number of good companies may be greater than you think, but the nature of good companies changes over time." He cites Coca-Cola as a great company with no substitute, but it may have underperformed the market over the past 25 years — because it failed to launch "New Coke" (and when it did launch New Coke, it was unsuccessful).
Pricing power refers to the ability to raise product prices even in the face of competition.
Armitage emphasizes that all companies face cost inflation, and the world today is more competitive—lower trade barriers and technology opening the door to competition. If a company can maintain pricing power, it indicates a truly exceptional quality in its business. If it can raise prices by more than the rate of cost inflation, it can structurally achieve margin expansion.
Egerton is not a style-based fund (Armitage admits he sometimes wishes it were, because style-based funds have stronger client stickiness). They also invest in cyclical companies, but "in cyclical companies, you often feel best just before a recession."
Armitage believes modeling is a "fine art" — too much detail leads to garbage in, garbage out, where minor changes in assumptions can cause everything to spiral out of control. The key is to isolate the absolutely critical factors and focus on them.
| Company | Modeling Characteristics | Key Variables |
|---|---|---|
| Airbus (large position) | Order prices are private and must be inferred from company disclosures | Incremental profit margin per aircraft, when pricing trends in the order backlog translate into revenue, large predictable costs such as R&D, foreign exchange impact |
| Reinsurers (formerly large position) | Contracts are entirely private, relying on company statements and historical reserve development patterns | Accuracy of historical loss estimates, divergence trends between good vs. bad companies |
| NVIDIA | Must infer BOM (bill of materials) composition | Memory cost inflation, timing impact of memory price contracts, sensitivity to the 75% gross margin cited in the interview |
| Visa (position) | Relatively transparent | Clear revenue drivers, well-defined cost structure, limited impact from mix effects |
Tangen noted this is one of the most important concepts Armitage taught him. Armitage explains: If a company's sales exceed or fall short of expectations, a high incremental profit margin relative to a low reported profit margin can lead to massive earnings beats or losses. This is especially valuable when uncovering recovery stories that others have not yet identified — because few analysts dare to incorporate such leverage into their models. He cites NVIDIA as an example: "Sell a little more, and profits explode" — and NVIDIA itself already starts with a very high base margin.
Armitage is highly critical of EV/EBITDA valuation:
> “Depreciation and amortization are real costs. Companies need to replace capital. Why add them back?”
He prefers traditional metrics: P/E, free cash flow multiple, EV/EBIT. He gives an example: “Some companies today are valued on EBITDA, yet their biggest cost is depreciation — does that make sense?”
In his younger days, he considered a 20x P/E high; today, it depends on the growth rate. He believes that being able to buy a good company with double-digit growth at close to 30x next year’s earnings is attractive in the current environment. However, he admits his tolerance for high P/E ratios is lower than many — which has caused him to miss some great growth stocks.
Armitage emphasizes this is a judgment call.
Tangen asks if there are geographic differences. Armitage cites Altice (a French cable/telecom company) as an example — the CEO is highly charismatic and skilled at cutting costs, but the business model relies on high leverage, low growth, and continuous acquisitions. When a quarterly result came in "slightly below expectations," he decided to sell, even though the impact on medium-term numbers was minor. His logic: Companies with little revenue growth have very little margin for error. One advantage of high profit margins is that the income statement doesn't collapse when sales decline.
Armitage believes this is a greater risk today — information overload leads to "analysis paralysis." His partner Ralph calls it "paralysis by analysis." Nowadays, any executive's comments anywhere are monitored by analysts and trigger reactions. Investors must cover all information, but absorbing too much can become "imprinted on the brain" like a semiconductor, making it hard to shake off.
Armitage emphasizes that "the stock doesn't know you're trading it." Nearly every good investment ultimately rises significantly, and one should not refuse to buy simply because the stock price has already gone up.
After the Global Financial Crisis, Armitage believed hedge funds might be too conservative to generate maximum returns for clients, and therefore wanted clients to allocate to both long-only and long/short products. Over the long term, if markets rise, long-only products that do not charge performance fees are more advantageous.
Armitage is skeptical of permanent capital: “Permanent capital or long lock-ups can become a luxury that makes you complacent—it makes you think ‘the stock is down but the investor has to stay with me for two or three years, it will come back’—and then you find it doesn’t.” He believes this removes the tension required to make correct investment decisions.
Egerton’s investment philosophy has not changed in its 30 years of existence. Armitage himself does not sit on the management committee, does not read meeting minutes, and focuses solely on investing.
Armitage believes AI has changed a great deal, but he is uncertain whether this is a good or bad thing. For fundamental stock-picking funds like Egerton, AI provides the ability to instantly acquire knowledge and output conclusions in any format.
1. Homogenization Risk: If too many people ask the same question, will they all get the same answer? Could there be a "single source of truth"?
2. Brain Atrophy Risk: This is Armitage's most personal concern—"If you overuse AI, your brain will atrophy. People who don't do mental arithmetic lose that ability; it's that simple. We want AI to help us and shorten processes, but we don't want it to think for us."
Armitage believes the market is far more efficient than when he was younger, and AI will accelerate this further. Generating Alpha is more difficult today, with possible avenues being high concentration (at the stock or thematic level). However, he warns that "concentrated positions are great in a tailwind and a disaster in a headwind." He does not want to take the "all-in on red" approach.
Egerton has underperformed this year, and Armitage has felt frustrated at times. Ultimately, he returns to the core question: Are the numbers supporting our holdings still valid? If they are, we will eventually make money. He is glad he did not chase the crowd at the bottom—Visa, which almost no one wanted at the time, subsequently rose by 20%.
Armitage is uncertain. He believes that sometimes youth and naivety are needed to embrace a vision. As one ages, one becomes more conservative. His personal conservatism may stem from two reasons:
1. Others know more, so you must know more
2. The environment in which he invested when he was young—falling inflation, falling interest rates, the fall of the Berlin Wall, 40 years of peace, free markets and liberalism seemingly prevailing—is vastly different from the present: the economy peaking, companies having already done a great deal of work to improve profitability, two wars, and the West under threat
Trending markets and trending stocks. Egerton does not excel in sharp volatility—sharp volatility is often driven by sentiment, geopolitics, or major economic shifts, and as a stock picker, you rely on numbers in a spreadsheet and conversations with management from weeks ago, making it easy to react too slowly.
He reflects on 2008: being in London, when others told him US house prices were growing at a 7% compound annual rate, he thought, "That's low"—completely failing to realize how the knock-on effects would transmit through the entire economy. The danger for a stock picker is being too focused on an individual investment without realizing it is part of a larger economic puzzle.
When founding Egerton in 1994, the initial fundraising round only gathered the equivalent of €1.25 million. However, competition was scarce at the time. The mutual fund he managed at Morgan Grenfell had outperformed the index by an annualized 10% over six years, ranking first among 85 funds, which gave him the confidence to start his own firm.
Armitage studied Modern History. He believes history trains one's research and investigative skills. He does not think a business school education is significantly helpful for investing — "I know many people with MBAs and liberal arts backgrounds, and I can't see a difference in their investment approach." His father told him: University is for education, not a vocational school. He does not look at academic background when hiring.
1. Study what you love — you will become better at it and perform better than studying something you dislike. Studying business is "absolutely no help."
2. Almost everything is more interesting than you think — as long as you delve into it.
3. Before age 21, you can get by on intelligence; after that, you must rely on hard work.
4. You need luck, passion, and drive; intelligence only needs to be average (unlike working at Anthropic).
5. Your personal life must be happy — he quotes KKR's Scott Nuttall: "Marry the right person." If your personal life is unhappy, your work will not be happy, and your work performance will suffer.
Armitage admits: "I wake up every morning wondering if I can succeed again." He and his wife discuss "whether it's all over." He copes by counting his blessings — being born in a great era, much better off than his parents' generation.
He sponsors the publication of fine books (private press books), recently participating in a book on Wordsworth's manuscripts. He enjoys walking, chatting with friends, and working while on vacation by the sea — "Being in control of my work and researching interesting things is relaxing for me."
| Company | Guest's View or Explicit Action | Key Rationale & Data |
|---|---|---|
| Boeing | Case study: a moated company destroyed by the wrong management | Under the previous CEO's leadership |
| Rolls Royce | Case study: a moated company that was a "burning platform" until a new CEO took over | Description of the new CEO |
| Berkshire Hathaway | Case study: a paragon of capital allocation — transformed from a textile mill | Originally a New England textile mill |
| Coca-Cola | A great company but may have underperformed the market over the past 25 years | Failed to launch successful new products |
| Airbus | Large position; modeling requires inferring private information | Key variables: incremental margins, order backlog pricing trends, R&D, FX |
| NVIDIA | Position; high margins, high incremental margins | 75% gross margin; impact of memory cost inflation on BOM |
| Visa | Position; was ignored earlier this year, then rose 20% | 67% margin; clear revenue drivers |
| Altice | Previously held; sold due to a slight earnings miss | Model relied on high leverage, low growth, acquisitions; small margin for error |
| Fiserv | Previously held long-term; sold after failing to understand a particular earnings release | Stock subsequently fell sharply |
| Intel | Criticized management's accounting policies | Pat Gelsinger added back stock-based compensation to profit |
| Ryanair | Praised CEO Michael O'Leary | World's most profitable airline; CEO admits mistakes, pays attention to detail |
| KKR | Previously invested; performed well | CEO Scott Nuttall gave the advice to "marry the right person" |
| Amphenol | Position | A high-quality company that supplies NVIDIA |
| ASML | Position | Not elaborated |
| Two hyperscalers | Position | Not named |
1. “A good company is not the same as a good investment” — Most good companies are fairly priced and not worth the time. Armitage’s first question is “Is it worth my time?”, and the second is “Can I understand it?”
2. Pricing power is a more important signal than a moat — Because all companies face cost inflation and intensifying competition, the ability to consistently raise prices indicates genuine excellence in the business.
3. Margin at the margin is the key lever — High incremental margins mean that a small upside surprise in sales can lead to a large upside surprise in profits, especially in recovery stories that others have not yet spotted.
4. Modeling is “detective work,” not mechanical calculation — For most companies, key information is private (e.g., Airbus’s order prices, reinsurance contract terms) and must be inferred and cross-validated from company disclosures.
5. Strong opposition to EBITDA valuation — Depreciation and amortization are real costs; adding them back masks the true profitability and reinvestment needs of capital-intensive businesses.
6. Armitage’s handling of minor earnings disappointments — Armitage believes disappointments never come alone, and low-growth companies have very little margin for error. He would rather miss out by selling too early than suffer a major loss by hesitating.
7. The double-edged sword of AI — AI provides instant knowledge but can lead to homogenization (everyone gets the same answer) and cognitive atrophy (losing the ability to do mental math). AI should assist thinking, not replace it.
8. Permanent capital can be a trap — Long lock-up periods can breed complacency, removing the urgency to make correct decisions and leading to tolerance of positions that should be sold.
9. The blind spot of stock pickers — Being too focused on a single investment may cause one to overlook that it is part of a larger economic puzzle. The lesson from 2008 was that being in London, he underestimated the ripple effects of the U.S. housing price decline.
10. “Marrying the right person” and personal happiness — Armitage quotes KKR’s Scott Nuttall, emphasizing that happiness in personal life is the foundation of professional success.