Insight
Article
April 2026

The strategic thesis was right. The P&L 
disagrees. Where to look

In private equity, value erosion rarely comes from a fundamentally flawed thesis. More often, the thesis, the priorities, and the operating model simply fail to align — quickly enough, or tightly enough — during the hold period. In tech-enabled industrials, that gap tends to be wider, more persistent, and more expensive to recover from

Reading Time 10 Minutes
The strategic thesis was right. The P&L <br>disagrees. Where to look

1. The wrong starting point

Most discussions begin with initiatives: pricing programmes, footprint redesign, procurement savings, capex plans. That is often the wrong starting point. The more useful question is both simpler and more demanding — how does the strategic thesis translate into P&L, week by week?

A strategy-heavy plan can look compelling on paper. But if those priorities do not show up in mix, scheduling discipline, bottleneck resolution, standard cost, or cash conversion, value stays theoretical. Pricing initiatives can deliver nominal gains, only to be offset within two quarters by adverse mix. The reverse is equally common: operational programmes improve Overall Equipment Effectiveness (OEE), reduce scrap, and stabilise processes, and leave the company no more valuable at exit. A more efficient plant is not necessarily a more valuable business.

 

2. A shared operating agenda

Closing this gap is not an advisory exercise. It requires shared ownership between management and shareholders, and the investment thesis turned into an “operating contract”: a set of choices that are visible, measurable, and enforced through governance.

If the thesis assumes a shift toward higher-value segments, capacity allocation must follow, even when short-term volume pressure pushes in the opposite direction. If pricing discipline is critical, the operating model must support it, and volume-versus-margin trade-offs need to be resolved consistently, not reopened each quarter.

For this to hold, the operating contract needs to reach the level of daily decisions and impacting on how orders are prioritised, how capacity is allocated, how production is sequenced. Without that definition, execution defaults to local optimisation and gradually disconnects from the economic logic of the thesis.

Misalignment across functions is where value typically leaks. Procurement is a telling example: negotiated savings can amount to several million euros yet only partially materialise in standard cost within the same financial year. Unless procurement, operations, and finance operate from the same economic definitions, those gains stay trapped in reporting rather than flowing through the P&L.

 

3. Where the conversion breaks down

Across industrial portfolios, the thesis-to-P&L chain tends to break in predictable places. Making them explicit is the first step to fixing them.

The conversion chain – thesis to P&L 

Analysis ends at business unit level rather than extending to customer, product, or SKU — precisely where mix effects are decided. Even where granular data exists, it rarely drives aligned decisions across planning, sales, and operations.

Capex discussions open before scheduling discipline and changeover performance have been fully tested. In one case, targeted scheduling changes deferred a planned capex programme by more than a year. What looks like installed-capacity shortage is often a utilisation problem in disguise.

Gains are tracked but not anchored to standard cost or cash. The issue is not an absence of negotiated savings; it is the absence of integration into costing and pricing mechanisms that would allow those gains to flow through to realised margins.

Too many workstreams, diffused accountability, slow escalation, precisely when speed matters most. The structure that was designed to create alignment ends up becoming the main source of delay.

None of these breakdowns are difficult to identify once you look for them. What is required is making the conversion chain explicit, assigning ownership to each link, and tracking it at a frequency that allows course correction before the impact compounds.

 

4. Why tech-industrials are structurally harder

These dynamics apply across industrial buyouts. In technology-enabled businesses, they are amplified.


4.1 Asset-heavy, proprietary operations slow every lever

When production depends on closed architectures or embedded systems, even routine improvements can require vendor involvement, integration work, or certification changes. A 6–12-month improvement cycle in a conventional industrial setting extends significantly before a stable baseline is even reached. Capex committed in year one, coordinated with firmware upgrades, IoT instrumentation, and digital controls, may not deliver its full P&L impact until year four or five of a hold period originally modelled at five.


4.2 IP constraints limit the standard toolkit

Procurement optimisation hits walls early: specialised components, licensed technologies, and long lead times make volume consolidation and supplier switching difficult. Pricing power is embedded in hardware-software combinations, which makes it hard to capture without disrupting the commercial model. Transitions toward software-like economics typically take years, not quarters. And in buy-and-build strategies, each acquisition adds a new layer of technical debt, embedded software architectures, proprietary protocols, and incompatible product environments, that compounds with every add-on.


4.3 R&D cannot be managed like a cost line

Applying standard cost discipline too aggressively can erode the capabilities that justified the entry multiple. Development cycles span years, product-line rationalisation decisions made on short-term financial logic can close doors to larger contracts — and the consequences only become visible at exit, when the technology story no longer holds. 

 

The deal model may have been built for a five-year hold. In a tech-industrial, the thesis-to-P&L chain often needs 30–60 months just to reach steady state — before the exit story is ready to be told

 

 

5. The Italian market as a reference point

The characteristics of the Italian private equity market make these issues even more concrete. According to the AIFI 2025 report, deal activity remained active in 2025 — 887 operations across 528 companies, up 21% by count year-on-year — while invested capital became more selective. Tech companies now account for 50% of total deal count, up from 34% in 2024.

Italian PE Market: Key Figures

Tech deal flow is at a record share

50% of 2025 Italian PE deal count went to tech companies up from 35% in 2024 for a total of c. 400 deals (AIFI 2025)

The typical investee is an SME

91% of portfolio companies have fewer than 250 employees; 87% have revenues below €50 million. These are businesses with strong technical capabilities but often limited governance infrastructure, thin data granularity, and operating models that have not fully scaled with their own complexity

 

International capital dominates by value

International operators accounted for 73% of total invested amount in 2025 (€8.4 billion vs. €3.2 billion from domestic investors). Most of that capital is deployed against theses and playbooks designed for larger, more structured businesses — which raises the risk of misdiagnosis when applied to Italian tech-industrial SMEs

The Italian market does not present a different problem from other European PE markets. What it does is make the underlying dynamics harder to ignore. Assets that are strategically well-positioned but operationally under structured leave little room for misalignment. When the link between thesis and execution is not explicit from the start, value leakage surfaces early and compounds.


6. What separates sponsors who close the gap

The sponsors and management teams who manage this effectively share a small set of consistent behaviours.


6.1 Modelling of timelines conservatively

Capex cycles, qualification processes, and integration constraints are built explicitly into the deal case, not assumed away. EBITDA impact is phased over 30–60 months, not assumed within year two.


6.2 Protection of R&D and technical talent

Both are treated as foundational, the source of the entry premium, not as discretionary cost lines to be harvested when short-term pressure builds.


6.3 Running a single governance conversation

Industrial KPIs (e.g., OEE, absorption, standard cost, cash conversion) and technology KPIs (e.g., product release cadence, software revenue share, IP activity, customer qualification progress) sit in the same board review, not separate tracks.


6.4 Stress-testing technical integration in buy-and-build

Software architecture, data systems, product compatibility, and embedded IP conflicts are assessed before each add-on with the same rigour as financial synergies — not after the deal closes.


6.5 Building the exit story early

The narrative for a future buyer starts from day one, grounded in operational evidence, not forward projections. Mix margin improvement, recurring software revenue growth, capex avoided through OEE gains: these are the proof points that survive exit due diligence.

 

None of these actions are complex. What they have in common is a refusal to let the thesis remain abstract

 

7. A practical starting point


In most portfolio situations, the constraint is not a lack of initiatives. On the contrary, there could be too many. The issue is less visible: limited clarity on how the thesis is expected to translate into the P&L, and exactly where that translation is breaking down.


Addressing this does not require additional programme complexity. It requires making the conversion chain explicit, testing where it fails, and aligning governance and operating model accordingly. A focused diagnostic is often enough to surface the main friction points and clarify the trade-offs involved.

 

That diagnostic only becomes actionable when it is grounded in operational reality, linking physical flows, capacity utilisation, and execution constraints to the points where demand and economics intersect. It is at that level that mismatches become visible and can be resolved before they become structural P&L gaps.

This work does not appear as a headline initiative, and it is not immediately visible in early reporting cycles. Over time, however, it tends to determine whether operational progress translates into a credible equity story or remains, largely, disconnected from it.

One diagnostic question worth asking at the next board: not 'are the workstreams on track?' but 'where is the thesis in this month's P&L?' The gap between those two questions is often where the value went.

ContactGet in touch

Giovanni Calia
Giovanni Calia
Managing Director
Due Diligence, Value Creation and Exit Readiness, Portfolio Strategy and Buy & Build, Principal Investors and Private Equity

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