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Colossus (Invest Like the Best / Business Breakdowns)Podcast11 Apr 2023Source: joincolossus.comHost: Patrick O'Shaughnessy

Scott Davis & Rob Wertheimer - Lessons from the Industrial Titans - [Invest Like the Best, EP.324]

In plain words

This episode covers lessons from industrial giants on survival and capital allocation, relevant for tech. The authors warn that failure starts with top-down arrogance and bad capital allocation. They favor Danaher for its 'business system' that guides daily work and its successful pivot from building materials to healthcare; Honeywell doubled revenue under Dave Cody without adding staff by slashing fixed costs; and Roper transformed from a water-meter firm to a software company by buying software assets at 10-12x EBITDA, a smart capital move.

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Scott Davis and Rob Wertheimer, in their appearance on Invest Like the Best, discussed capital allocation and business strategy lessons from industrial giants (such as Danaher, Roper, Honeywell, Boeing, and GE) during their mature phases, based on their book Lessons from the Titans. The core argumen

~10 min full read · 8 sections
Deep Analysis

This Issue at a Glance

Scott Davis and Rob Wertheimer, heads of Melius Research and co-authors of Lessons from the Titans, explore how lessons from industrial giants' century-long survival and capital allocation apply to today's tech sector. The most impactful judgment in the entire episode: corporate failure begins with arrogance embedded in culture (top-down), and the natural state is extinction—50% of S&P 500 constituents from the past 20 years have disappeared, and the pace of change is accelerating (Davis).


Three Common Patterns of Corporate Failure

Davis argues that corporate failure begins when arrogance seeps into the culture, typically from the top down. The worst three years of a CEO's tenure are the first and the last two—the first due to organizational paralysis from the uncertainty of change, and the last two from complacency after success. Jack Welch is a classic example: had he stepped down in the final two or three years of his tenure (before GE Capital ballooned to a dangerous size), his narrative would have been entirely different.

The second layer of failure is cultural collapse. Culture takes an extremely long time to build but can be destroyed overnight. Davis cites a personal example: Barclays' new CEO brought an index card listing "10 things that define our culture," yet none of them related to employees' daily work.

The third layer is capital allocation mistakes. When a company has ample cash, it is easy to mask errors, but problems surface when "the tide goes out." Davis points out that McKinsey research shows only 7% of companies can leap from mediocre to excellent operations, while about 25% slide from mediocre to poor—the probability of a company deteriorating is nearly three times that of improving.

Business Systems: Focusing on Tools, Not Magic

Davis emphasizes that all long-term successful companies have some kind of "business system" at their core, which is essentially a focusing tool—enabling employees to walk into the office every day knowing what to do and what counts as "good." The Danaher Business System (DBS) is a prime example: it is not a single method but a collection of dozens or even hundreds of micro-tools covering every function of the organization. Core principles include visual control (what you can't see, you can't measure; what you can't measure, you can't improve) and the forceful application of common sense (the methods themselves are extremely simple).

Wertheimer adds a critical warning: many companies have only a "movie set"—a business system on the surface that has not penetrated the culture. The test of authenticity: can bad news travel upward? Can the organization systematically identify and remove roughly 15% of "destructive personnel"? Can it improve the performance of 80% of the "middle layer" employees by 10% (which yields a much greater overall improvement than boosting the performance of 5% of star employees by 50%—800 basis points vs. 250 basis points)?

Davis offers a verification method: the numbers must match the narrative. If a company talks about operational improvements but the profit margins and cash flow do not reflect it, that is a "movie set." He recalls a conversation with 3M's CFO—who thought a 20% profit margin was "good enough"—which exposed a lack of continuous improvement culture within the organization.

Value Creation in a Low-Growth Environment

Davis argues that when growth rates are low, every ounce of operating leverage must be captured. During Dave Cody's tenure at Honeywell, revenue doubled while headcount remained flat, and return on capital improved significantly—because the company had "zero tolerance" for fixed costs.

The second step of value creation is free cash flow generation. The best industrial companies generate free cash flow close to 100% of net income. The third step is using that cash flow for "portfolio rebalancing"—exiting businesses while they still look good and moving into areas with higher returns and lower cyclicality. Danaher has undergone multiple major transformations: from building materials → tools → industrials → medical diagnostics → life sciences, each time achieving "growth through subtraction" via spin-offs or divestitures.

Wertheimer uses the leasing industry as an example of competitive advantage in maturity: When technology is no longer transformative, competitive advantage comes from decades of accumulated operational knowledge—you are better than anyone else in the world at operating those assets, thereby achieving sustainable and hard-to-challenge profit margins.

R&D: Solving Today's Problems, Not Guessing Tomorrow's Demand

Davis's core judgment: centralized, "university-style" R&D almost never works. GE, under Jeff Immelt, set up a nanotechnology lab; three years later, a visit revealed they were still working on "paint that keeps cars from needing washing"—spending billions guessing at "future problems" that might not be real societal issues.

Successful cases focus on solving customers' problems today. During the pandemic, Danaher focused on rapidly launching high-quality COVID test kits and helping vaccine manufacturers boost capacity—"They couldn't think, 'We'll have a great COVID test in 10 years,' because in 10 years you'll need something else."

Wertheimer adds: successful industrial companies make "the right investment at the right time," rather than "betting the whole farm." Paccar (manufacturer of Peterbilt and Kenworth trucks) CEO Preston's philosophy: continuously monitor the technology ecosystem, but do not commit fully before fully understanding the direction. Danaher makes multiple small-scale bets through a diversified portfolio—a "lower risk, higher reward" approach.

Cultivating a High-Quality Shareholder Base

Davis believes the best management teams "compete" for quality shareholders rather than passively accepting any shareholder. Danaher's approach: after the analyst day, executives immediately fly to major shareholders like T. Rowe Price and Capital for one-on-one breakfast meetings; regardless of where an analyst is located, they can arrange a meeting with local management.

This relationship generates enormous value at critical moments. In early 2008, Danaher's acquisition of Tektronix required issuing billions of dollars in stock for financing—it was completed in just a few hours with a few phone calls, because the top shareholders said, "Danaher is issuing stock for a deal we support, and we support it." Davis concludes: "You don't need these relationships when your P/E is 50x, but eventually you will."

Wertheimer adds: Deere's case demonstrates how to cultivate customer trust to achieve a business model transformation. Farmers are naturally resistant to the SaaS model (preferring to own assets), but Deere spent 5-6 years developing technology and 2-3 years designing commercial outreach, explaining to farmers that "weeds change every year, and we deliver differentiated value each year, so this is a continuous product, not a one-time sale."


Mentioned Positions

Position Analyst Stance Key Data
Danaher Bullish (Exemplary Business System) Completed billions in equity financing within hours in 2008; successfully transformed multiple times from building materials → tools → industrials → healthcare → life sciences
Honeywell Bullish (Successful Transformation Case) Negative cash flow in 2003, facing asbestos and environmental liabilities; revenue doubled under Dave Cote's tenure while headcount remained flat
Roper Bullish (Capital Allocation Model) Acquires software assets (negative working capital businesses) at 10-12x EBITDA; transformed from a water meter company into a software company
GE Risk Warning (Capital Allocation Mistake Case) Jack Welch swapped TV business for NBC (equal value exchange); Jeff Immelt sold NBC at 10x EBITDA and bought Alstom at a higher multiple
Boeing Risk Warning (Customer Dissatisfaction During Honeywell's Transformation) No specific data provided
3M Risk Warning (Cultural Complacency) CFO considered 20% margin "good enough"; R&D output does not match growth
Deere Bullish (Business Model Transformation) Acquired Blue River Technologies (AI precision spraying); spent 5-6 years developing technology and 2-3 years designing commercial rollout
Paccar Bullish (Investment Discipline) CEO Preston's philosophy: "Make the right investments at the right time," avoids all-in bets
Ingersoll Rand Bullish (Emerging Execution Engine) Adopts quarterly sprints + weekly stand-up meetings to enable rapid escalation of bad news
Trane Bullish (From Mediocrity to Excellence) Achieved transformation through large-scale lean manufacturing rollout, leading to valuation re-rating
ITW Bullish (Focus Tool Model) Uses the "80-20" principle as a management focus tool

Judgments Worth Remembering

1. Davis: The probability of a company deteriorating is nearly three times that of it improving. McKinsey research shows that only 7% of companies can rise from mediocrity to excellence, while about 25% will slide into poor performance — the natural state is decline, with 50% of S&P 500 constituents having disappeared over the past 20 years.

2. Davis: The worst three years of a CEO's tenure are the first year and the last two. The first year causes organizational paralysis due to the uncertainty of change, and the last two years breed complacency from success — if Jack Welch had retired two years before GE Capital's expansion, his narrative would have been entirely different.

3. Wertheimer: Many companies' "business systems" are merely "movie sets" — they have the appearance but lack substance. Criteria for judgment: Can bad news travel upward quickly? Can 15% of "destructive personnel" be systematically removed? Do the numbers match the narrative?

4. Davis: Improving the performance of 80% of middle-tier employees by 10% yields over three times the overall improvement than boosting the performance of 5% of star employees by 50%. The former generates 800 basis points of improvement, while the latter only 250 basis points — the core of an excellent business system is to elevate "the average performance of ordinary people."

5. Davis: Centralized, "university-style" R&D almost never works. GE spent billions researching "paint that eliminates the need to wash cars" (nanotechnology), while Danaher focused during the pandemic on rapidly launching COVID test kits — "solve today's problems, rather than guessing tomorrow's demands."

6. Wertheimer: Successful industrial companies "make the right investments at the right time," rather than "betting the entire farm." Paccar continuously monitors the technology ecosystem but does not commit fully before fully understanding it; Danaher makes multiple small-scale bets through a diversified portfolio.

7. Davis: You don't need shareholder relations when your P/E ratio is 50x, but eventually you will. In early 2008, Danaher completed a multi-billion-dollar equity financing in just a few hours — because its top shareholders said, "Danaher is doing a deal we support."

8. Wertheimer: Business model transformation requires "the accumulation of trust." Deere spent 5-6 years developing AI precision spraying technology and 2-3 years designing its commercial rollout, explaining to farmers that "weeds change every year, and this is an ongoing product, not a one-time sale" — trust made it possible for farmers to accept the SaaS model.