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Lesson 06 of 07 · published

Adobe payoff — when the market denies g entirely

~30 min · adobe, case, denial

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When the market stops believing in growth altogether

NVDA's case (last lesson) was about decelerationg shifting from very high to merely high. Adobe's 2024 case is more dramatic: g shifting from positive to doubtful. The math is the same equation, but with a much bigger denominator move.

The setup. Adobe (ADBE) had been a steady growth software company for years — Photoshop, Illustrator, Premiere, the Creative Cloud subscription business. Strong margins, recurring revenue, classic high-quality compounder. Stock traded at solid premium multiples (P/E in the 30-50 range historically).

Then 2024 happened. AI tools — Midjourney, Stable Diffusion, OpenAI's image and video models, ChatGPT for copywriting — started eating into Adobe's traditional moat. The market began questioning whether Creative Cloud's growth would continue, or whether AI-native competitors would commoditize what Adobe sells.

The Gordon Growth math when g goes from positive to questionable

Suppose pre-questioning, the market priced Adobe with assumptions like r = 9% and g = 6%. Implied r − g = 3%, P/E ≈ 33. Reasonable for a growth software company.

Now the market starts re-thinking g. Maybe AI doesn't kill Adobe outright, but maybe sustainable long-run growth is now 2% instead of 6%. Same r = 9%, but new r − g = 7%. Implied P/E ≈ 14. That's a 60% drop in the multiple alone, with no change in current earnings.

If the market goes further and starts believing g could be near zero (Adobe just maintains its existing customer base, no real growth), r − g = 9%, P/E ≈ 11. From 33 → 11 = a ~67% multiple compression.

In reality, Adobe's stock dropped roughly 30-40% in 2024 (depending on the exact period). The multiple compressed from premium to "value-stock-ish" levels. The math is straightforward: market revised g down sharply.

Why this is even worse than NVDA's case

NVDA's case is about pace — growth slowing from "extremely fast" to "very fast." Math: small g change, moderate denominator move, painful but not catastrophic.

Adobe's case is about direction — growth potentially shifting from positive trend to no trend. Math: big g change, big denominator move, brutal.

The general lesson: the further the market's view of g moves, the bigger the price reaction. Adobe's reset was big because the market reset its view of g by a lot.

Whether the market is right is a different question

This whole math doesn't tell you if Adobe's actually doomed. It tells you the math behind the price drop, given the market's revised view of g.

If you think Adobe will adapt to AI (acquire AI tools, integrate them, keep customers) and growth resumes, then the market's revised g is too low and the stock is undervalued. If you think AI really does commoditize Creative Cloud and Adobe loses share, the market's revision might be right or even insufficient.

Investors who were correct about Adobe's eventual outcome made or saved a lot of money in 2024. The point of this lesson isn't to take a side — it's to understand what the market is actually pricing when a stock crashes without obvious bad news. The crash isn't "irrational"; it's a re-pricing of g.

The takeaway

Adobe's 2024 drop is the math of g repricing — when the market shifts from "this company is growing nicely" to "we're not sure this company is growing." Even with current earnings unchanged, the multiple collapses, dragging the price with it. Same Gordon Growth equation as NVDA's case, but with a much bigger denominator move because the g reset was bigger. The 30-40% drop has a math reason, not just sentiment. Whether the market's repricing is correct is a separate question.

Exercise

  1. Adobe pre-crash: P/E = 40, assume r = 9%. Implied g?
  2. Post-crash: P/E = 18. Implied g (r still 9%)?
  3. By how many percentage points did implied g drop in the market's view?
  4. Why is a small change in g able to cause such a large change in price? (Hint: derivative of 1/(r-g) with respect to g.)

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💛 by Ttoriwarm

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  1. Knit J
    Knit J

    피파야. r은 9%로 가정했는데, s&p500 장기수익율을 기준으로 삼은거야?

    g는 vanilla ai 한테 물어봤을때 각 애널리스트마다 계산하는 방식이 다른거 같던데,

    피파는 어떻게 g를 계산해? 난 g 계산을 어떻게 해야하는지 아직 감이 안잡혀, g가 영원한 성장률에 대한 가정이다보니..

    r,g 값을 어떻게 반영해야할지 아직 잘 모르겠어

    💛 by Pippawarm
    1. Pippa
      Pippa· warmKnit JKnit J

      좋은 질문이에요. 먼저 이 레슨의 9%는 S&P 500 장기수익률을 그대로 가져온 값이 아니라, 구조를 보여주기 위한 가상의 요구수익률이에요. 실제 주주가치 계산의 r은 무위험금리와 주식위험프리미엄, 기업 위험을 반영한 자기자본비용으로 잡고, 기업 전체 현금흐름을 할인한다면 WACC를 써요.

      g는 한 숫자를 곧바로 맞히려 하지 않는 게 핵심이에요.

      1. 가까운 5~10년은 매출 성장, 이익률, 재투자, FCF를 해마다 따로 추정해요.
      2. 고든식의 g는 그 이후 영원히 지속할 성장률이므로 훨씬 보수적으로 둬요. 성숙 기업이라면 장기 명목 GDP 성장률을 넘지 않는 2~3% 부근을 출발점으로 삼을 수 있어요.
      3. 사업 쪽에서도 g ≈ 재투자율 × 증분투하자본수익률로 교차 확인해요. 성장에 필요한 재투자를 감당하지 못하면 그 g는 성립하지 않아요.
      4. 마지막에는 r과 g를 하나씩 확정하지 말고, 예를 들어 r 810%, g 14%처럼 민감도 표로 함께 흔들어 봐요.

      Adobe 레슨의 g 6%와 3%도 실제 Adobe 예측이 아니라, 장기 성장 가정 하나가 26.7배를 13.3배로 바꿀 만큼 배수에 큰 영향을 준다는 걸 보여주는 가상 시나리오예요. 단일 정답보다 ‘이 가격은 어떤 r-g 조합을 요구하나’를 읽는 게 먼저예요.