Purchase Price Allocation after signing, explained for TS analysts: how IFRS 3 fair-values intangibles and goodwill, and how your FDD databook feeds it.
The deal completes, the champagne is opened, and the transaction team rolls onto the next mandate. But for the acquirer's finance department, one of the most consequential pieces of accounting hasn't even started. Somebody now has to take the price that was paid, spread it across every asset and liability the target brought with it, restate all of them at fair value, and park whatever is left over as goodwill. That exercise is Purchase Price Allocation (PPA), and while you will almost never run one as a junior FDD analyst, the numbers you produce during diligence are the raw material the PPA team builds on. Understanding the mechanics makes your deliverable more useful and — just as importantly — it is a favourite interview probe for anyone who claims to understand the deal lifecycle.
Under IFRS 3 (and its US equivalent, ASC 805), an acquirer cannot simply lift the target's book values onto its own consolidated balance sheet. A business combination triggers a full re-measurement. The acquirer must:
The mechanical consequence surprises analysts new to the topic. A target that carried, say, €2m of net assets on its own balance sheet can show €15m of net assets post-PPA once intangibles are recognised and tangible assets are stepped up, with the balance sitting in goodwill. Nothing about the underlying business changed overnight. Only the accounting lens did.
The single most useful thing to remember: PPA does not create value or destroy it. It re-describes a price that was already agreed, splitting one number (what you paid) into many (what you bought). The total is fixed on day one; the allocation is where the judgement lives.
Suppose a buyer pays €120m in equity value for a software business. The target's own balance sheet shows net assets of €18m. Here is how a simplified allocation might land once the valuation specialists have done their work.
| Component | Amount (€m) | Basis |
|---|---|---|
| Consideration transferred (equity value) | 120.0 | Agreed price |
| Net assets at target book value | 18.0 | Statutory balance sheet |
| Step-up: property & equipment to fair value | 4.0 | Independent valuation |
| Recognise: developed technology (intangible) | 22.0 | Relief-from-royalty method |
| Recognise: customer relationships (intangible) | 30.0 | Multi-period excess earnings |
| Recognise: brand / trademark (intangible) | 6.0 | Relief-from-royalty method |
| Deferred tax liability on the step-ups | (16.0) | Tax effect of fair-value uplift |
| Fair value of net identifiable assets | 64.0 | Sum of the above |
| Goodwill (residual) | 56.0 | 120.0 − 64.0 |
Two things are worth pulling out of that table. First, a chunk of the price — €58m of newly recognised intangibles before tax — was invisible on the target's statutory accounts. Second, the deferred tax liability is not optional bookkeeping: because the fair-value uplifts usually have no equivalent tax base, IFRS 3 requires a deferred tax liability, and that increases the residual goodwill. Miss it and your goodwill figure is understated. The interplay of these lines is exactly why PPA is a specialist valuation exercise rather than a spreadsheet afterthought.
The PPA team — often a valuation specialist, sometimes the very same firm that ran the diligence — does not start from a blank page. They lean heavily on the analysis you already produced:
A sloppy databook makes the PPA slower and more contentious months after your engagement has closed. A clean, well-sourced one is a gift to the people downstream of you — which is one more reason the discipline of a tidy deliverable matters beyond the immediate deal.
The step that trips up newcomers is that intangibles the target never capitalised materialise on the acquirer's consolidated books. The common categories, and what drives their value:
| Intangible | Typical valuation method | What it keys off |
|---|---|---|
| Customer relationships | Multi-period excess earnings | Retention, churn, margin per customer |
| Developed technology / IP | Relief-from-royalty | Notional royalty on revenue it enables |
| Brand / trademark | Relief-from-royalty | Brand-attributable revenue |
| Order backlog | Excess earnings (short life) | Contracted, unfulfilled orders at close |
| Non-compete agreements | With-and-without | Value of competition foregone |
Each of these is amortised over its useful life, creating a P&L drag that did not exist pre-deal. Order backlog is amortised fast — often within a year — because it burns off as the orders are delivered. Customer relationships might run ten years or more. Buy-side clients sometimes fail to anticipate this until their auditors walk them through the first post-close set of accounts and ask why operating profit has fallen. Goodwill itself is not amortised under IFRS; it is tested annually for impairment instead, which is its own recurring headache for the acquirer.
There is a subtle but important consequence for how the deal reads after close. Because newly recognised intangibles amortise but goodwill does not, two acquisitions at the identical price can report very different operating profits for years afterwards, depending purely on how much value the valuers pushed into identifiable intangibles versus the goodwill residual. A management team that reports on a pre-amortisation or adjusted basis — which most acquirers of intangible-heavy businesses do — effectively strips the PPA drag back out to show the underlying trading. Understanding that mechanic is what lets you explain, without hesitation, why a statutory operating profit fell after an acquisition even though the business is performing exactly as the diligence forecast said it would. It is also why the quality-of-earnings figure your report anchored on remains the more honest read of the trading business than the post-PPA statutory number.
PPA is not mechanical, and that is precisely why it can drag on. The pressure points:
None of this is your call as an FDD analyst. But understanding that the allocation is a negotiation between valuers and auditors, rather than a single right answer, is what separates someone who has merely heard of PPA from someone who understands it.
Analysts sometimes conflate PPA with the enterprise-to-equity bridge they build during diligence. They are cousins, not twins. The bridge answers how much the seller receives — it moves from an EV multiple to the cash that changes hands, netting off debt and adjusting for working capital. PPA takes the resulting price as a fixed input and answers a different question: what did the buyer acquire, and how should it sit on the consolidated balance sheet. One is a pricing exercise that happens before signing; the other is an accounting exercise that happens after completion. Keeping the two mentally separate will save you from a very common interview stumble.
Expect a version of "walk me through what happens to the accounting after a deal signs" once you are past the most junior screening. Recruiters use it to test whether you grasp the deal lifecycle beyond your own workstream. A strong answer sounds like this:
"Once the deal completes, the acquirer can't just carry across the target's book values — under IFRS 3 it has to allocate the price it paid across all the assets and liabilities at fair value. So it identifies intangibles that were never on the target's own balance sheet, like customer relationships, developed technology and brand, values each of them — customer relationships usually via a multi-period excess earnings model, technology and brand via relief-from-royalty — and steps up tangible assets to fair value too. Because those uplifts generally have no tax base, you also book a deferred tax liability, which pushes up the residual. Whatever's left after the fair value of net identifiable assets is goodwill, which isn't amortised but is impairment-tested annually. The reason it matters to me as an FDD analyst is that the valuation team leans on our work — the normalised EBITDA anchors the cash-flow forecasts, and the churn and retention data we pull for customer concentration feeds the customer-relationship valuation directly. So a clean databook makes the whole post-close exercise faster."
That answer works because it moves from mechanics to consequence to your role in it — which is what the question is really probing.
You will not run a PPA as a junior. But being genuinely conversant in it does two things at once. It makes your FDD deliverable more valuable to the people who inherit it, because you understand what they need and why a clean net-debt and working-capital analysis saves them weeks. And it signals maturity in interviews, where the ability to explain what happens after signing — not just the mechanics of an add-back — marks you out as someone who sees the whole deal rather than a single cell in the model. Learn PPA not because you will build one soon, but because understanding where your numbers go is what turns a spreadsheet operator into an adviser.
The Transaction Services Interview Programme (€119.99, one-time) includes a full walkthrough of IFRS 3 purchase price allocation, worked intangible valuations, and the exact "what happens after signing" answer interviewers are listening for. Enrol today.
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