When ROI Becomes a Trap: Why Companies Need to Think Beyond the Percentage

• Growth Strategy
• Value Creation

A high return on investment does not automatically mean a high-value investment. When companies make capital-allocation decisions by chasing ROI alone, they can end up investing too much in attractive-looking projects and too little in strategically important ones. Economic Value Added offers a different lens: it asks whether an investment generates enough economic profit to compensate for the capital it consumes.

Every investment committee has heard the question:

“What is the ROI?”

It is one of the most convenient questions in business.It is also one of the easiest to misuse.

A project promising a 30 percent return immediately appears more attractive than one promising 15 percent. A business unit delivering 25 percent ROI looks more efficient than one delivering 12 percent. A manager who can increase ROI from 18 percent to 22 percent appears to have improved capital productivity.

But there is a problem with treating the percentage as the decision.

ROI tells us how efficiently capital is being used. It does not, by itself, tell us whether the amount of value created is sufficient, whether the investment should be larger or smaller, or whether rejecting a lower-ROI investment will damage the company's long-term economics.

This distinction matters because capital allocation is not a mathematical competition to find the highest percentage.

It is a strategic decision about where the next rupee of capital can create sustainable economic value.

That is why companies should complement ROI with Economic Value Added (EVA), economic profit, ROIC and, where appropriate, NPV.

The ROI paradox

Consider a company with two investment opportunities.

Investment A requires ₹10 crore and is expected to generate ₹3 crore a year. Its ROI is 30 percent.

Investment B requires ₹100 crore and is expected to generate ₹15 crore a year. Its ROI is 15 percent.

If management simply ranks projects according to ROI, Investment A wins.

But suppose the company's cost of capital is 10 percent.

Investment A creates an economic spread of:

30% − 10% = 20%

Its annual economic profit is approximately:

₹10 crore × 20% = ₹2 crore

Investment B creates a spread of:

15% − 10% = 5%

Its annual economic profit is:

₹100 crore × 5% = ₹5 crore

The project with the lower ROI is generating more economic profit because it is being applied to a much larger capital base.

This is the first trap.

A higher percentage return does not necessarily mean greater economic value.

There is a second trap.

Suppose a business currently has ₹100 crore of invested capital and generates ₹25 crore of operating profit.

Its ROI is 25 percent.

Management is offered a new ₹50 crore project expected to generate ₹9 crore.

The project's ROI is only 18 percent.

A manager whose performance is judged primarily on maintaining a high ROI may reject it because adding the project reduces the division's average return.

Yet if the cost of capital is 10 percent, the project is still earning an 8-percentage-point economic spread.

The company may be rejecting a value-creating investment simply because the investment makes an existing percentage look less impressive.

This is the underinvestment problem.

When a good metric creates bad behaviour

The deeper issue is not that ROI is a bad metric.

It is that any metric can create dysfunctional behaviour when it becomes the objective rather than the measurement.

If managers are rewarded for maximizing ROI, they may naturally favour:

• smaller investments with very high returns;
• short-payback projects;
• cost reductions that improve near-term margins;
• investments with predictable benefits;
• projects that preserve existing ratios.

They may become less enthusiastic about:

• capacity expansion;
• new-market entry;
• technology platforms;
• research and development;
• capability building;
• infrastructure;
• investments whose returns emerge over several years.

This can create a strange outcome. The company becomes very good at optimizing the economics of today while gradually weakening its ability to compete tomorrow.The reverse can happen too. A company can become addicted to investments that show attractive returns while ignoring the fact that incremental returns are declining.

That is how overinvestment begins.

The manufacturing trap: when expansion starts destroying value

Consider a manufacturing business experiencing strong demand for one of its product categories. Management expands capacity.

The first expansion requires ₹40 crore and produces a 24 percent return.

The business performs well, so another ₹50 crore is invested. The second project generates 20 percent.

A third expansion costs ₹70 crore and produces 15 percent.

A fourth requires ₹90 crore and produces 11 percent.

Each investment might appear reasonable when evaluated separately.

But the trajectory tells a different story.

The company is experiencing declining incremental returns.

If its cost of capital is approximately 10 percent, the first three investments create economic profit, while the fourth creates only a marginal economic spread.

Management should now ask a more important question:

“What will the next ₹1 crore of capacity actually earn?”

That question is different from:

“What ROI did our previous investments achieve?”

This distinction is critical.

Historical ROI can tell management how efficiently the company has used capital.

It cannot automatically tell management where the next unit of capital should go.

As capacity expands, utilization can fall. Fixed costs can rise. Inventory can increase. Working capital can become trapped. Price competition can intensify. The company may eventually have more assets than its market economics justify.

The balance sheet becomes larger without creating proportionate economic value.

That is overinvestment.

And it is often difficult to recognize because the company may still be reporting revenue growth and accounting profits.

The cost of underinvestment can be equally severe

Now consider a different manufacturing situation.

A company has a production facility operating close to its practical capacity.

A new ₹80 crore automated production line would initially generate only a 13 percent return.

The company's cost of capital is 10 percent.

A conventional investment review might conclude that 13 percent is not sufficiently attractive compared with several smaller projects offering 18–20 percent.

So the investment is postponed.

For the next two years, however, demand continues to increase.

The company begins outsourcing production at higher cost.

Delivery times increase.

Large customers begin looking for alternative suppliers.

Existing equipment is pushed harder, increasing maintenance costs and downtime.

Eventually, management approves the original expansion—but at a significantly higher cost and after losing some commercial opportunities.

The investment that appeared “less attractive” when considered through ROI alone may have been economically important because it removed a strategic capacity constraint.

The lesson is not that companies should approve low-return projects.

The lesson is that ROI must be interpreted in the context of the economics of the whole business.

Capital allocation cannot be separated from strategy.

Technology creates an even more difficult version of the problem

The challenge becomes more pronounced in technology.

Technology investments frequently have:

• high upfront expenditure;
• uncertain adoption;
• long development cycles;
• rapid obsolescence;
• significant capability-building effects;
• benefits that spill over into other products and processes.

Artificial intelligence is a particularly visible example.

Companies today are investing heavily in data infrastructure, computing capacity, AI platforms, cybersecurity, automation and digital operating models.

Some investments will produce measurable revenue quickly.

Others will initially look disappointing if evaluated only through direct ROI.

Consider a technology business investing ₹50 crore in an enterprise AI platform.

The first-year direct financial return is estimated at 7 percent.

The company's cost of capital is 10 percent.

On a simple first-year ROI test, the project appears unattractive.

But management expects the platform to support several business applications over five years:

• automated software development;
• customer-service automation;
• internal knowledge management;
• product personalization;
• sales productivity;
• faster analytics;
• lower technology-development costs.

The initial investment is therefore not simply a project producing one revenue stream.

It is a platform investment.

The correct question is not whether the first-year ROI clears an arbitrary threshold.

It is whether the present value of the expected future economic benefits, adjusted for risk and capital cost, justifies the investment.

That is where EVA and NPV become much more useful.

EVA changes the question

Economic Value Added starts with a straightforward principle:

A business creates economic value only when the return generated on invested capital exceeds the cost of that capital.

The basic formulation is:

EVA = (Return on Invested Capital − Cost of Capital) × Invested Capital

Or, expressed differently:

EVA = After-tax Operating Profit − Capital Charge

Aswath Damodaran explains this relationship in his NYU material on Economic Value Added, where he describes EVA as the surplus value created after accounting for the cost of capital invested in an asset or project. He also explains the relationship between EVA and NPV: the present value of a project's future EVA can be connected to its net present value.

This gives management a more useful economic lens.

Suppose a company invests ₹100 crore.

It generates a 14 percent return.

Its cost of capital is 10 percent.

The economic spread is 4 percent.

Therefore:

EVA = 4% × ₹100 crore = ₹4 crore

The business is not merely “earning 14 percent.”

It is generating approximately ₹4 crore of annual economic profit above its capital charge, assuming the underlying accounting and capital estimates appropriately represent the economics.

Now change the numbers.

A different project generates 25 percent ROI but requires only ₹5 crore.

At a 10 percent cost of capital:

EVA = 15% × ₹5 crore = ₹0.75 crore

The second project has a dramatically higher ROI.

But the first project creates more annual economic profit.

That is the difference between percentage efficiency and economic value creation.

EVA does not mean “approve everything above the cost of capital”

There is another important nuance.

A positive EVA does not automatically make an investment the right strategic choice.

An investment may generate positive economic profit but still be inferior to another use of capital.

A project may also show positive EVA based on overly optimistic assumptions.

Therefore, EVA should be part of a broader capital-allocation architecture.

Management should examine:

Strategic fit

Does the investment strengthen an area where the company has a competitive advantage?

Incremental ROIC

What return will the additional capital generate not what return does the existing business generate?

Cost of capital

What is the appropriate risk-adjusted hurdle?

Economic profit

How much value remains after charging the investment for its capital cost?

NPV

What is the present value of the investment's expected future cash flows?

Capital intensity

How much capital must be continuously reinvested to sustain the economics?

Downside scenario

What happens if demand, price, utilization or adoption is substantially below plan?

Strategic option value

Does the investment create capabilities that allow the company to pursue additional opportunities later?

This prevents EVA from becoming another mechanical KPI.

The technology example becomes clearer with an economic-profit lens

Return to the ₹50 crore AI platform.

Suppose the company estimates:

• Initial investment: ₹50 crore
• Cost of capital: 10%
• Year 1 ROI: 7%
• Year 3 expected ROI: 18%
• Year 5 expected ROI: 22%

The project should not be judged solely on the first-year percentage.

Management should model the entire investment life.

What matters is whether the discounted stream of future economic profit compensates for the initial capital commitment and the associated risks.

This is particularly important for technology investments because the economics can be highly nonlinear.

Adoption may be slow for two years and then accelerate.

Or the opposite may happen: management may discover that employees do not adopt the technology, customers do not pay for the new functionality, or the underlying technology becomes obsolete before the expected benefits arrive.

That is why a strong technology investment case should include milestones and economic gates, rather than one approval followed by years of unquestioned spending.

For example:

Stage 1: Build capability

Stage 2: Validate adoption

Stage 3: Demonstrate unit economics

Stage 4: Scale only when economic evidence improves

This approach reduces the risk of both overinvestment and premature underinvestment.

What boards and CEOs should change

The real shift is not from ROI to EVA.

It is from metric-driven investment decisions to economically informed capital allocation.

A leadership team should therefore stop asking only:

“Which project has the highest ROI?”

Instead, the investment discussion should include:

“What is the incremental capital requirement?”

“What is the risk-adjusted return?”

“What is the cost of that capital?”

“What economic profit does the investment create?”

“How does the return change as we scale?”

“What happens if the investment is delayed?”

“What happens if we invest too much?”

“What strategic constraint does the investment remove?”

“What alternative use of capital are we giving up?”

These questions produce a fundamentally better conversation.

McKinsey research similarly emphasizes that value creation depends on the relationship between growth, ROIC and cost of capital, rather than growth or return viewed in isolation. Its analysis also describes economic profit as profit after subtracting the cost of capital.

More recent McKinsey work on resource allocation makes the same broader point: companies need to actively reallocate resources toward areas where future growth and economic value are strongest rather than simply continuing historical allocation patterns.

The management principle: optimize value, not the ratio

ROI remains useful.

It tells management something important about capital efficiency.

But the mistake is turning it into the destination.

A company can have an impressive ROI and still be too small in an attractive market.

It can have a lower ROI and still generate more economic profit.

It can improve ROI by cutting investment while simultaneously weakening future growth.

It can increase capital expenditure because current returns look attractive while pushing incremental returns toward the cost of capital.

The deeper management discipline is therefore to understand the economics of incremental capital.

That means asking where the next ₹1 crore, ₹10 crore or ₹100 crore will create the greatest sustainable economic surplus.

EVA provides a useful framework because it puts a price on capital.

It reminds management that capital is not free simply because it is already sitting on the balance sheet.

Every rupee deployed has an opportunity cost.

The question is whether the business earns enough from that rupee to justify keeping it deployed.

For manufacturing companies, this can help distinguish genuine capacity expansion from excessive asset accumulation.

For technology companies, it can help distinguish strategic capability building from technology spending that never reaches economic scale.

For boards and CEOs, it creates a stronger bridge between strategy, capital allocation and long-term value creation.

The objective, ultimately, is not to produce the highest ROI.

It is to build a business in which capital is continuously redirected toward opportunities capable of generating returns above its economic cost while avoiding both the temptation to overinvest and the fear of investing where the strategic payoff takes time to emerge.

That is the difference between managing a financial ratio and managing the economics of a business.

References

1. Aswath,Damodaran. “Economic Value Added.” New York University, Stern School of Business. The article explains EVA as the surplus value generated after accounting for the cost of capital and discusses its relationship with NPV and discounted cash-flow valuation.
2. Aswath,Damodaran. The Dark Side of Valuation, Chapter 2: “Economic Value Added.” The chapter presents EVA as an excess-return framework and explains the relationship between EVA and NPV.
3. Goedhart, Marc; Koller, Tim; Wessels, David. Valuation: Measuring and Managing the Value of Companies, 7th ed. Wiley, 2020. The work discusses the relationship among ROIC, growth, cost of capital and economic profit; it is also cited in McKinsey's research on economic profit.
4. Cao, Bing; Jiang, Bin; Koller, Timothy. “Balancing ROIC and Growth to Build Value.” McKinsey on Finance, 2006. The article examines the relationship between growth and return on invested capital in long-term value creation.
5. McKinsey & Company. “Where, How Much, and How: Answering the Hardest Questions of Resource Allocation.” The article discusses economic profit, ROIC and NPV as tools for resource-allocation decisions.

Note: The manufacturing and technology cases in this article are illustrative composite scenarios created for this RAADHI publication. They are not presented as financial disclosures or as descriptions of any specific company's investment decisions.