Neu Thinking
Decision-grade models for boards and lenders. Debt, valuation and runway support.
We build decision-grade financial models for board and lender-facing decisions. Our work focuses on debt, valuation and runway scenarios, with models designed to be transparent, reviewable and robust under scrutiny.
Models are structured so assumptions are visible, logic is traceable, and scenarios switch cleanly. Outputs reconcile and cash movements can be explained line by line.
A three-statement model links the P&L, balance sheet and cash flow so performance and cash are understood together. For founder-led and finance-led businesses, it is the minimum structure needed to forecast runway, plan hires, test downside scenarios and produce board-ready outputs.
The standard is simple: assumptions entered once, statements reconcile, and cash movements can be traced month by month. This avoids the common failure mode of P&L-only planning that looks healthy until working capital, VAT, capex or tax timing bites.
Examples include:
Annual budget and operating plan (integrated P&L, balance sheet and cash flow)
Rolling forecast with scenarios (base, upside, downside and sensitivities)
Runway planning and liquidity visibility (including hiring and growth trade-offs)
Discounted Cash Flow (DCF) Model
DCF models translate future cash generation into value, with transparent drivers and sensitivities. Useful for investor discussions, transactions, internal capital allocation and impairment testing.
Sum of the Parts (SOTP) Model
SOTP frameworks value businesses with multiple divisions or assets by modelling each component separately, then combining them into an overall enterprise and equity value view. Useful for group strategy, disposals and portfolio decisions.
Consolidation Model
Consolidation models provide a clean group view across entities, including intercompany logic, balance sheet integrity and cash flow reconciliation. Useful for PLC and PE-backed groups, budgeting and reporting under time pressure.
These include, but not limited to:
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