Real estate decision analysis

What is this real estate
decision actually worth?

Most real estate analysis stops at cost. Think Assets models what each option is actually worth, across tax, time and operational consequence, before the commitment is made.

Tell us about your decision
Why standard analysis is not enough Three gaps. One opportunity.
01
Each adviser sees a different decision

Project teams optimise for delivery. Finance teams optimise for return. Tax advisers optimise for treatment. Without someone integrating all three, the outcome is shaped by whichever view dominates, not by the full picture.

02
Cost is modelled. Value is not.

Headline cost and short-term return drive approval. The long-term value the decision creates or destroys is rarely in the model. That is the number that matters.

03
The right inputs are rarely in the same model

Real estate expertise, tax knowledge and financial modelling each depend on the others to produce a complete answer. They are rarely applied together. When they are, the answer changes.

The service

The analysis that should happen before every material real estate decision.

Think Assets does one thing: models what each real estate option is actually worth before the commitment is made. The analysis goes as deep as the decision requires. After the decision is fixed, analysis can only explain what happened. Before it is made, it can change the outcome.

1
Options interrogated
What does each option actually cause?

Each option is traced through its causal consequences: what it does to cost, revenue, tax position, operational flexibility and long-term value. Not assumed. Modelled.

  • Causal pathway analysis by option
  • Long-term value and operational consequence
  • Assumption identification and challenge
2
Value modelled
What is each option worth over time?

Net-of-tax cash flow, NPV, sensitivity across realistic scenarios. The model runs across the full holding period, not just the approval horizon.

  • Net-of-tax cash flow and NPV by option
  • Capital allowances and tax categorisation
  • Sensitivity and scenario analysis
  • Long-term operational value quantified
3
Decision supported
A ranked, evidenced basis for commitment.

Options ranked by net financial position, assumptions visible, risks quantified. A proper basis for judgement.

  • Options compared on a consistent basis
  • Net financial position across scenarios
  • Clear presentation of findings
  • Engagement with finance, tax and legal
The analysis in practice

The full financial effect of a real estate decision goes well beyond cost.

The analysis traces how each real estate variable connects to financial outcomes: not just what the numbers are, but why they are what they are and what changes if the assumptions shift.

Illustrative modelling framework
Decision inputs
What varies between options
Location
Accessibility, catchment, labour market, transport links
Scale & configuration
Footprint, density, layout logic, capacity headroom
Design & specification
Fit-out quality, environmental performance, technology
Tenure & structure
Lease vs own, term, break options, capital profile
Expenditure & tax
Capital cost, allowances, tax categories, timing
Analytical pathways
How each variable drives financial outcomes
→
Design & layout → workflow efficiency → productivity value per sq ft
→
Location → customer footfall → revenue and conversion effect
→
Specification → talent attraction → recruitment cost and attrition
→
Building performance → operating cost trajectory → 10-year model
→
Capital structure & allowances → net-of-tax cash flow → NPV by option
Financial outcomes
What the decision-maker sees
Net occupancy cost
Capital, operating and tax costs over the holding period
Operational value effect
Quantified productivity, revenue and retention impact
Net financial position
Total cost net of operational benefit: the number that matters
Option ranking
Ranked by net financial position across base case and scenarios
The analysis traces connections between real estate variables and financial outcomes that standard modelling treats as outside its scope. Illustrative: actual analysis is built around the specific decision.

Analysis that changed the outcome

Client details not disclosed
Retail and leisure operator · Relocation decision
Revenue reduction 3× the occupancy saving.

A project team recommended relocating a flagship operation to lower-cost premises. The gross saving looked compelling. Our modelling traced the location change through catchment and footfall data. The revenue reduction outweighed the occupancy saving by a factor of three over five years. The client did not relocate.

Professional services firm · Fit-out specification
Payback on additional capital cost: 26 months.

A firm treated the higher-spec fit-out as a cost line, not an investment. We modelled the attrition effect against recruitment costs and turnover data. The additional capital cost paid back within 26 months through reduced attrition alone. That changed which option was recommended.

How the analysis is done

The depth of the analysis reflects the depth behind it.

Real estate decisions sit at the intersection of property, construction, finance and tax. Genuine analytical depth requires all four to inform each other simultaneously. That is what this practice is built around.

01 · Real estate
Real estate and construction

Fifteen years inside the financial detail of real estate projects. How costs accumulate, how categories shift, what the gap between approved assumptions and final account usually looks like. That knowledge is what makes the modelling realistic rather than theoretical.

02 · Finance & tax
Finance, tax and fiscal analysis

Tax value identification, tax-sensitive categorisation and net-of-tax financial modelling applied to the decision, not to the retrospective claim. The tax position is in the model from the start, not added at the end.

03 · Data & analytics
Data analytics and advanced modelling

The analytical tools available for financial modelling of real estate decisions have improved substantially. Scenario analysis, sensitivity testing and causal modelling across complex variable sets are now practical on every engagement. Domain expertise determines what to model. Analytical depth determines how far the model can reach.

Integrated, not assembled.

Real estate expertise shapes what the financial model should assume. Tax knowledge shapes which option the model favours. Financial modelling connects them into a single view of what each option is worth. These things have to work simultaneously. Separate advisers working in sequence do not produce the same answer.

Fifteen years. One domain.

Built by going deep.
Not broad.

Est. 2010
Tax value recovery
The practice started in tax value recovery, identifying the value embedded in real estate expenditure that organisations had already spent but rarely fully recognised. It put us inside the financial detail of real estate projects from the start. Engagement by engagement, we learned where the value lived and where it was being missed.
2014–2020
Upstream into financial effect modelling
The real opportunity was not to recover value after the fact but to model it before the commitment was made. We built the expertise to do that.
2021–today
Deeper analytical capability
The tools available for financial analysis of real estate decisions improved substantially. What required weeks of manual modelling can now be done more thoroughly and across a wider range of scenarios. The domain focus has not changed. The analytical reach has.
Fifteen years. One question: what is this real estate decision actually worth? The depth to answer it properly now exists in one place.
Connect with the founder
Who commissions this work

For those who need to know what a real estate decision is actually worth before committing to it.

Real estate, tax and financial expertise in one place, applied to one question before the commitment is made.

Finance Directors & CFOs

Finance leaders who need to know what each option delivers over the period it binds the organisation, not just what it costs to approve.

Tax Advisers & Accountants

Advisers who need real estate and financial modelling to underpin their tax position, built on assumptions that reflect how the project will actually develop.

Property-Intensive Businesses

Businesses making repeated real estate decisions who need each one analysed on a consistent, integrated basis.

Investors & Asset Managers

Investors who need a clear view of what each expenditure decision delivers, with tax, cash flow and operational consequences understood before capital is committed.

The earlier, the better

Tell us what decision you are facing. We will tell you honestly whether we can help.

Fill in the form. We will come back within two working days.

The practice is deliberately small. We take on a limited number of engagements so the senior expertise is always applied directly. If the fit is right, we will say so.

Focus Organisations facing material real estate decisions, UK & Ireland
Stage Before expenditure is committed