π§ From Lease Calculations to Engineered Insights
A Structured Excel Approach to Financial Modelling
This report showcases more than just the numbers behind an Electric Vehicle novated lease β it highlights the Excel modelling techniques that make this tool transparent, flexible, and scalable.
We start with a real question:
Whatβs the financial difference between buying a vehicle outright and leasing it through salary sacrifice?
To answer that properly β across states, car models, tax brackets, and lease terms β we needed to build something far more robust than a basic spreadsheet. We needed a modular, auditable engine. That meant leveraging the very best of Excel's modelling architecture.
Each page in this report walks through the tools that made this possible β and shows how they build on one another to deliver meaningful insights.
π Page 1: Named Ranges β Building with Context
The journey starts with a dedicated Config sheet, where all editable parameters are stored in one place β highlighted in yellow and defined using named ranges like GST, LCT, or TaxRate.
β No more C7 * D10
β Now: Cost * GST
This dramatically improves readability, helps new users find what to change, and gives auditors full traceability of assumptions.
π Page 2: Tables β Structure without Complexity
Static datasets β like stamp duty by state or vehicle pricing β are stored as Excel Tables.
Auto-expanding rows
Column names instead of cell references
Easy filtering, referencing, and downstream calculations
No Power Query here. The data rarely changes, so we keep it simple and performant β but still structured.
π Page 3: Tabular Formulas β Transparent Logic
From there, we layer in logic using structured references. Our formulas read like English, pulling from column headers and table names with built-in autocomplete.
=INDEX(Vehicles, MATCH(Model, Vehicles[Model], 0), MATCH("Cost", Vehicles[#Headers], 0))
Easy to read
Easy to trace
Easy to adapt
This approach ensures that all calculations are driven by table logic, not hidden in tangled formulas.
π Page 4: Data Tables β Insight at Scale
The final layer is the most powerful: Excelβs Data Tables.
With one core formula, we run hundreds of permutations across vehicle models and lease durations β calculating net present value, discount percentages, and total savings in one sweep.
Powerful for negotiations, budgeting, and capital planning.
Ideal for rapid scenario analysis
Completely eliminates duplicated logic
π― Why This Model Works
By layering these tools, we transformed a single financial question into a flexible, audit-friendly decision engine.
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Named Ranges = clarity
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Tables = structure
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Tabular Formulas = logic transparency
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Data Tables = scalable analysis
In a world of fragile spreadsheets and βdo not touchβ workbooks, this model shows how Excel can be used as a proper engineering tool β building tools that work, grow, and tell a clear story.