Multi-Period Excess Earnings (MPEEM) Method
Valuation Methods — Lesson 3 of 10
The Multi-Period Excess Earnings method is the standard technique for valuing the primary intangible asset in a business — the one asset that is most directly responsible for generating the entity's cash flows. In most purchase price allocations, that primary asset is customer relationships.
The MPEEM's logic is distinctive: rather than valuing the asset directly (as the RFR does with royalty rates), the MPEEM works by elimination. It starts with the total cash flows of the business, deducts a fair return on every other asset that contributes to generating those cash flows — tangible assets, working capital, workforce, technology, brand — and attributes the remaining "excess" earnings to the primary intangible asset.
This lesson explains the method's mechanics, walks through the calculation of contributory asset charges, and provides a complete worked example.
The MPEEM isolates the value of the primary intangible asset by deducting fair returns on all contributory assets from total business cash flows. The residual — the excess earnings — is attributed to the primary asset. The method's rigour depends entirely on the completeness and accuracy of the contributory asset charges.
When to Use MPEEM
The MPEEM is the method of choice in specific circumstances.
MPEEM Is Appropriate When
- The asset is the primary cash-flow driver
- Multiple assets contribute to the same revenue stream
- The purpose is PPA or fair value measurement
- Other assets can be valued independently first
MPEEM Is Not Appropriate When
- The asset has an independently observable market (use RFR or market)
- The asset is not the primary earnings driver
- Contributory assets cannot be reliably identified
- The business has only one significant intangible
In a typical PPA, the MPEEM is applied last — after all other intangible assets (brand, technology, patents) have been valued using RFR, market, or cost approaches. The MPEEM then captures whatever value remains in the primary asset.
The Conceptual Framework
The MPEEM rests on a fundamental economic principle: every asset employed in a business deserves a fair return. A factory contributes to production. Working capital funds operations. A brand attracts customers. Technology enables the product. The workforce executes the work.
If the total business generates cash flows of $20 million, and $12 million can be attributed as fair returns on these contributory assets, then $8 million represents the excess earnings attributable to the primary intangible — typically customer relationships.
The Six-Step Process
1. Identify the primary intangible asset
Determine which asset is the principal driver of the business's cash flows. In most service and subscription businesses, this is customer relationships. In technology businesses, it may be proprietary technology.
2. Project total business cash flows
Develop multi-year projections of revenue, operating expenses, capital expenditure, and working capital changes to derive after-tax free cash flows for the business as a whole.
3. Identify all contributory assets
List every asset — tangible and intangible — that contributes to generating the projected cash flows. Common contributory assets include: working capital, fixed assets, assembled workforce, brand/trade name, and technology/software.
4. Calculate contributory asset charges
For each contributory asset, determine a fair return — the charge that would be paid to "rent" that asset. This is the asset's fair value multiplied by an appropriate rate of return.
5. Calculate excess earnings
Deduct all contributory asset charges from total business cash flows. The residual represents the earnings attributable to the primary intangible asset.
6. Discount to present value
Discount the excess earnings at a rate that reflects the risk of the primary intangible asset. Add the Tax Amortisation Benefit if applicable.
Contributory Asset Charges: The Critical Input
The contributory asset charge (CAC) is the economic rent that would be paid to use each asset. It is calculated as:
CAC = Fair value of asset x Required rate of return
The required rate of return varies by asset type, reflecting each asset's risk profile.
Contributory Asset Charge Rates
| Contributory Asset | Typical Return Rate | Basis |
|---|---|---|
| Net working capital | Risk-free rate (3-5%) | Low risk, liquid |
| Fixed assets (PP&E) | Debt rate or WACC (6-9%) | Moderate risk, depreciable |
| Assembled workforce | WACC + premium (12-16%) | Higher risk, replaceable |
| Brand / trade name | WACC + 1-3% (11-14%) | Moderate-high risk, long-lived |
| Technology / software | WACC + 2-4% (12-15%) | Higher risk, shorter-lived |
The return rates are not arbitrary. They must be consistent with the overall business's WACC and must reconcile — the weighted average of all asset-specific returns, weighted by each asset's fair value, should approximate the business's WACC. This is known as the weighted average return on assets (WARA) reconciliation and serves as a critical cross-check.
Customer Attrition: The Projection Shape
When MPEEM is used to value customer relationships, the projection must reflect expected customer attrition. Existing customers do not last forever — they churn, switch to competitors, go out of business, or renegotiate terms.
Customer attrition is typically modelled in one of two ways:
| Attrition Model | Approach | Best For |
|---|---|---|
| Constant attrition rate | A fixed percentage of the remaining customer base churns each year | Subscription businesses with stable churn |
| Declining balance | Higher attrition in early years, stabilising over time | Contract-based relationships with renewal patterns |
The attrition rate directly determines the useful life and the projection period. A 10% annual attrition rate implies that approximately 65% of the customer base remains after 4 years. A 20% rate means only 41% remains after 4 years.
A B2B software company acquired in a PPA has 500 enterprise customers with an observed annual churn rate of 8%. Using a constant attrition model, the projection shows revenue from existing customers declining by 8% per year. After 10 years, approximately 43% of the original customer base remains. After 15 years, approximately 29% remains. The valuer models a 15-year explicit projection period, capturing approximately 95% of the total value from existing relationships.
Worked Example: Customer Relationships Valuation
DataCo is acquired for $150 million. The PPA has already valued the following assets:
DataCo — Asset Values at Acquisition
| Asset | Fair Value ($M) | Valuation Method |
|---|---|---|
| Net working capital | 8.0 | Book value |
| Fixed assets (PP&E) | 12.0 | Market approach |
| Brand / trade name | 15.0 | RFR (4% royalty rate) |
| Proprietary technology | 22.0 | RFR (8% royalty rate) |
| Assembled workforce | 6.0 | Replacement cost |
| Customer relationships | ? | MPEEM |
| Goodwill | Residual | — |
DataCo's projected after-tax free cash flows for year 1 are $18.0 million. Customer attrition is 10% per year.
MPEEM Calculation — DataCo Customer Relationships (Years 1-5)
| Item | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|
| After-tax cash flow ($M) | 18.0 | 17.1 | 15.6 | 14.2 | 13.0 |
| Less: Working capital charge (4%) | (0.3) | (0.3) | (0.3) | (0.2) | (0.2) |
| Less: Fixed asset charge (8%) | (1.0) | (0.9) | (0.8) | (0.7) | (0.7) |
| Less: Brand charge (12%) | (1.8) | (1.7) | (1.5) | (1.4) | (1.3) |
| Less: Technology charge (14%) | (3.1) | (2.8) | (2.5) | (2.3) | (2.1) |
| Less: Workforce charge (15%) | (0.9) | (0.8) | (0.7) | (0.7) | (0.6) |
| Excess earnings | 10.9 | 10.6 | 9.8 | 8.9 | 8.1 |
| PV factor (13%) | 0.885 | 0.783 | 0.693 | 0.613 | 0.543 |
| Present value | 9.6 | 8.3 | 6.8 | 5.5 | 4.4 |
Continuing the projection through year 15 (at which point the surviving customer base is approximately 21% of the original), the total present value of excess earnings is $52.8 million.
Adding the Tax Amortisation Benefit (approximately 10% uplift): Fair value of customer relationships: $58.1 million
The remaining value allocates to goodwill: $150.0M - $8.0M - $12.0M - $15.0M - $22.0M - $6.0M - $58.1M = $28.9 million.
The WARA Reconciliation
As a cross-check, the weighted average return across all assets — each weighted by its fair value — should approximate DataCo's WACC. If the WARA is materially different from WACC, the individual asset returns or fair values need adjustment. This reconciliation is not optional in a professionally prepared PPA — it is a requirement of best practice under IFRS 13 and the International Valuation Standards.
Common Pitfalls
Incomplete contributory assets. Omitting a contributory asset overstates the excess earnings and inflates the primary asset's value. The most commonly missed contributory asset is assembled workforce.
Inconsistent return rates. The return rates on contributory assets must be consistent with the business's overall WACC. If individual rates are set too low, the WARA will be below WACC and excess earnings will be overstated.
Ignoring customer attrition. Projecting flat revenue from existing customers without attrition overstates the useful life and the value. Always model the decay of the existing customer base separately from new customer acquisition (which is not part of the existing relationship value).
What Comes Next
In Lesson 4: With and Without, we examine the method used when an asset's value is best understood by comparing what the business looks like with the asset versus without it — the standard approach for non-compete agreements and scenario-dependent assets.
Tony Hillier is an advisor to Opagio with over 30 years of experience in structured finance, valuation, and due diligence across private equity and corporate transactions. Meet the team.