30 Value Equation levers hidden in your business model
Most business leaders run their companies with a dashboard of metrics:
Revenue, margins, headcount, maybe EBITDA.
These numbers are useful. But they share the common limitation of measuring outputs, not the underlying engine producing them.
I wrote The Value Equation to help change that. It doesn't replace your existing metrics, but it connects every operational and financial decision to the single overriding objective we’ve touched on many times before – creating equity value above what it cost to build the business.
It does this through six variables that, when you look inside them, contain more than 30 individual levers any leader can actually pull for a more successful business.
Six variables are just the starting point
The six-variable version of the Value Equation is deliberately simple. It's designed to give leaders a clear, high-level view of where value is being created or lost across the whole business model. But simple doesn't mean shallow. When a business model is underperforming, the six variables tell you which category the problem lives in.
The expanded story with 30+ levers tells you specifically where to look and what to adjust.
You can think of it like a doctor reading a blood panel. The summary tells you something is off but the details tell you what to do about it.
Sales levers
Sales is the most visible variable, and the most commonly misunderstood.
Two businesses can produce identical revenue while one creates substantial equity value and the other destroys it. Sales only matter in relation to the other variables.
But even within sales itself, there's more structure than most leaders apply.
Break it down and you get three distinct levers:
1. The number of customers
2. The average price of what you sell
3. The average number of products each customer buys.
Each lever responds to different strategies. Each carries different risk profiles and time horizons. And each interacts with the rest of the equation differently.
A pricing increase that boosts the sales variable might compress volume in ways that hurt margins or customer retention downstream.
Business investment levers
Business investment is where many leaders have more room to maneuver than they realize. The levers inside this variable includes everything deployed to generate sales like owned or leased real estate, equipment, inventory, receivables, required cash balances, and prepaid costs. But critically, you subtract from that total what can be called free money: accounts payable, accrued expenses, deferred income, customer deposits, and other zero-cost liabilities.
That subtraction is the main leverage point. Every dollar of free money you can access reduces your capital stack without touching revenue or margins. Every asset you can eliminate or outsource – as Apple famously did by designing in California and manufacturing elsewhere – shrinks business investment and improves the equation without a single pricing decision.
This is also why the asset-light question matters so much in model design.
Renting rather than owning doesn't automatically make a business asset-light. The leased asset still represents real capital deployed…it just sits on someone else's balance sheet. Including it in business investment, as the Value Equation framework recommends, gives leaders an honest picture of what the model actually requires to operate.
Operating profit margin levers
Margin is fundamentally the gap between revenue and total operating costs, but that gap contains the entire cost structure of the business.
Cost of goods, labor, occupancy, technology, administrative overhead – each is a lever with its own drivers and trade-offs.
One nuance worth flagging: the Value Equation strips out non-cash accounting items like depreciation and stock-based compensation when calculating operating margin. The goal is to see the actual cash economics of the business, not the accounting version of them. Similarly, for founder-led businesses, there is one point that often gets overlooked: your own salary needs to be in the cost structure.
If there's no cash flow left after paying yourself a market-rate salary, the business hasn't created value…
It's bought you a job.
Capital stack levers
OPM (Other People’s Money) as a percentage of business investment, and the cost of that OPM, are typically the simplest variables to model, but as the WeWork story made clear, they carry consequences that can dwarf everything else in the equation. The key insight here connects back to what we've covered in earlier posts on capital stack design: the terms of financing matter more than the rate.
A lower interest rate on restrictive debt can cost far more in lost optionality than a higher rate on flexible capital. The payment constant – annual payments relative to proceeds received – is often a better guide to capital efficiency than the headline cost of borrowing alone.
Maintenance CapEx levers
The levers inside this variable are the most commonly underestimated, and they deserve more attention than they usually get.
Maintenance capex isn't just routine upkeep and periodic remodeling…though those matter. It also includes the average annual cost of closures, bad deals, and acquisitions that didn't work out.
Verizon's combined $8.9 billion purchase of Yahoo and AOL, later sold at a $4.9 billion loss, is a vivid example. That loss was a permanent drag on the value equation, even after the assets were gone.
This is why, when it comes to capital allocation risk, the most dangerous business decisions are often the ones that look like isolated write-offs. Averaged over time, they become a recurring cost embedded in the model and they belong in maintenance capex, where they're visible rather than hidden.
What the levers tell you that the summary can’t
The practical value of expanding the equation isn't complexity for its own sake. It's that different levers respond to different kinds of action, on different timescales, with different risk profiles. Some improvements are available immediately like renegotiating supplier terms to increase free money, eliminating underutilized assets, adjusting pricing on low-margin product lines. Others require longer lead times, including remodeling for higher-performing locations, restructuring a capital stack, redesigning the customer acquisition model.
The equation doesn't tell you which lever to pull first.
But it does tell you which variables are underperforming relative to what the model should produce. And that's where the work starts because great business models don't just happen.
They are designed, variable by variable, with intention.
The 30+ levers inside the Value Equation are the design tools. Learning to use them is what separates businesses that grow into wealth from those that simply grow.
For more on this, pick up your copy of The Value Equation, and subscribe to my YouTube channel.
