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M&A and Capital Raising

Structuring the commercial proposition and supporting sale, purchase and investment processes before shareholders and boards.

Sala de transacciones M&A con ejecutivos revisando valuación

The challenge

Selling a company or raising capital requires a value narrative backed by numbers, not just intent.

Our approach

  • Building the value thesis and equity story
  • Financial model and projection support
  • Preparation of materials for shareholders and investors
  • Support in negotiation and commercial due diligence

Deliverables

  • Commercial proposition and equity story
  • Financial model and indicative valuation
  • Commercial data room and presentation materials
  • Support at the negotiating table
NS Methodology · ES·NS

Equity Story

The value thesis, backed by numbers.

An investor doesn't buy the plan: they buy the credibility of the assumptions behind the plan.

E1

Value thesis

We define why this business is worth what it's worth and what the source of value is for the buyer or investor.

  • Equity story and value narrative
  • Value-creation analysis
  • Target buyer profile
E2

Financial support

We build the financial model and subject every assumption to market evidence and historical performance.

  • Integrated financial model
  • Indicative valuation (DCF and multiples)
  • Sensitivity analysis
E3

Process preparation

We prepare materials, data room and answers to the tough questions before they're asked.

  • Teaser, IM and board materials
  • Commercial data room
  • Due-diligence anticipation
E4

Negotiation

We support the table with negotiation scenarios, defined limits and real-time technical support.

  • Negotiation scenarios and limits
  • Commercial due-diligence support
  • Follow-through to closing

ES·NS methodology path

Sequence of phases, with the analytical focus of each one and the decision point that closes it.

E1
Value thesis
Equity story and value narrative · Value-creation analysis · Target buyer profile
E2
Financial support
Integrated financial model · Indicative valuation (DCF and multiples) · Sensitivity analysis
E3
Process preparation
Teaser, IM and board materials · Commercial data room · Due-diligence anticipation
E4
Negotiation
Negotiation scenarios and limits · Commercial due-diligence support · Follow-through to closing

Fig. 1 · Phase flow

Value creation bridge

The equity story rests on quantified levers. The NS benchmark places average revenue synergy at 23% of purchase price, with only 54% of companies hitting their target.

100
Purchase price
+23
Revenue synergy (average 23%)
+4
Premium for technology capabilities
-11
Capture risk (only 54% hit target)
116
Sustained value of the thesis

Fig. 3 · Value bridge (index base 100 = purchase price)

Reference ranges behind the framework

Index values from the NS engagement base that we use to calibrate hypotheses and targets before measuring with the client's own data.

23%

of the purchase price is the average revenue synergy captured in M&A transactions

NS Base · M&A and Capital
54%

of companies reach or exceed the revenue synergy target set out in the investment thesis

NS Base · M&A and Capital
27% vs 19%

synergies captured by public companies versus private ones, as a share of purchase price

NS Base · M&A and Capital

Fig. 4 · NS reference ranges

Deliverables map

Each deliverable is anchored to the phase where it is produced and validated with the client team.

E1
Commercial proposition and equity story
E2
Financial model and indicative valuation
E3
Commercial data room and presentation materials
E4
Support at the negotiating table

Fig. 2 · Deliverables by phase

The figures use reference ranges and index values from the NS method, calibrated with our project base and market tracking. Each project's results are reported with the client's actual figures.

$2M USD raised
Sale process closed
Materials approved by the board
JM

Lead partner

José Manuel Noriega

Business economics: price, growth, margin and capital.

See partner profiles
AI as an accelerator

AI as an accelerator in this practice

We accelerate due diligence and valuation with assisted reading of financial, legal and commercial information.

  • Automatic extraction and normalization of financial statements and data-room contracts
  • Red-flag and atypical-clause detection using language models
  • Target and comparable screening with semantic search over public databases
  • Valuation models with scenarios and sensitivities generated in real time

We work with data governance, confidentiality controls and human validation on every deliverable: AI accelerates the analysis, it never replaces the decision.

Impact cases

$2M USD

capital raised

Value proposition and materials presented to shareholders for the investment round.

Niche insurer · Mexico

Closed

sale process supported

Structuring of the commercial proposition and leadership of the negotiation before senior leadership and shareholders.

Food company · Mexico

Let's talk about your specific case

A first conversation is enough to size the opportunity.