Institutional hotel valuation, deployed in your own Microsoft tenant — pricing that scales with your valuation volume, not your seat count. Built by a senior valuer, configured to your firm's methodology.
Three groups, three sets of priorities, the same need for institutional depth in hotel valuation.
Your team values hotels for clients. You know where Excel costs you time — rebuilding the same model, defending the discount rate without a clear derivation, reconciling PDF and spreadsheet the night before delivery. Hotel Val Hub is built around how that work actually gets done.
You hold hotels at scale. An internal valuation team has been hard to justify because the tooling didn't exist. Hotel Val Hub gives asset management institutional-grade hotel valuation in-house — period-matched FX across mixed currencies, mixed tenures handled correctly, the same depth a senior external advisor would produce.
You operate hotels and need ongoing valuations for refinancing, rotation decisions, or portfolio reporting. Generic real estate tools don't fit and bespoke advisor work doesn't scale. Hotel Val Hub gives finance and asset teams hotel-specific valuation depth, configurable to your group's investment thesis.
Two distinct commercial relationships — neither a tier of the other. Self-select based on whether your firm wants a long-term partnership or a managed software relationship.
As AI tools increase valuer productivity over the next five years, per-seat software pricing becomes punitive — fewer users producing the same output for the same cost. Hotel Val Hub's per-valuation pricing aligns with where the industry is going: platform cost per valuation decreases as your team's productivity increases. That's deliberate architecture, not coincidence.
Property records that can't be trusted. P&L data that lives one valuation and dies in a folder. Two pains that cascade into every downstream problem in hotel valuation.
Property entry is Google Places-validated — type a hotel name, select a suggestion, and Full Address, City, Region, Country, Post Code, Latitude, and Longitude populate in a single step. No free-text typos polluting the master, no Parisian hotels with Marseille postcodes, no duplicate records to merge later. The master is segment-coded by hotel type, geocoded for the map view, and filterable across countries, types, ratings, brands.
P&L data is captured into a structured Dataverse store, not a workbook archive. Each P&L record persists — reusable across future engagements of the same property, queryable for historical comparisons, benchmark-ready as the analytics modules deploy. The data work your team does today builds the foundation for everything tomorrow.
Google Places-validated · segment-coded master · Dataverse-stored P&LMethodology hidden in formula cells. Outputs trapped in a workbook nobody can query. Each new engagement starts from a copy of an old workbook, with manual cleanup.
Operating projections in Hotel Val Hub follow a USALI-aligned chart of accounts — 117 line items grouped by department, fixed/variable cost modeling native to hotel operations, three forecasting methods per line (base/target year inflation-anchored growth, hardcoded year-by-year amounts, or KPI-anchored). Inflation handles automatically, line item by line item. Behind the structure sits our proprietary framework, calibrated against years of institutional hotel valuation.
DCF methodology starts with explicit yield decomposition. Exit Cap Rate is built from Prime Equivalent Yield plus structured adjustments for Location, Building Quality, Tenure, and Exit. Discount Rate is built from Exit Cap plus Notional Execution Risk and Long-Term Growth — each component editable, annotated, traceable to the analyst who set it. Three-path terminal value handles freehold, leasehold-with-renewal, and leasehold-no-renewal. The 5×5 sensitivity matrix recomputes instantly. Location frameworks, treatment of Acquisition Costs within PEY, gross/net yield convention — all configurable to your firm's methodology, not ours.
Crucially, every output lands in Dataverse, not in a workbook archive — queryable for senior review without opening any file, available for cross-engagement benchmarking, accessible to future automations like auto-populated reports. Outputs no longer disappear into the workbook that produced them.
USALI-aligned · yield decomposition · firm-configurable · outputs queryableMulti-Excel sprawl. Mixed currencies, mixed tenures, version-control nightmares. Cross-asset reports that take an afternoon to assemble.
Real portfolios mix freeholds and leaseholds, span EUR / USD / GBP and more, and vary in hold period asset to asset. Hotel Val Hub consolidates them into a single engagement view — aggregate DCF value, blended yield metrics that work across mixed tenures, period-matched FX across mixed currencies, value composition across the whole asset set.
Apply an assumption change — Prime Equivalent Yield, location adjustment, growth rate, acquisition cost — across every property in the engagement in one click; per-property edits take precedence. The cross-asset projection grid lets analysts compare any P&L line item across the full portfolio in one view, with companion fields (per-occupied-room, per-available-room, ratio, year-over-year) toggleable as context. The senior reviewer signing off the engagement and the analyst who built it work from the same view, not different files.
Mixed currency · mixed tenure · cascading assumptions · cross-asset comparisonHours of manual reformatting between Excel and PDF. Numbers that don't always agree. Output your team retypes the night before delivery.
The work ends with a deliverable. Hotel Val Hub generates the PDF and the Excel from the same extraction layer, which means they cannot disagree on numbers — no last-minute reconciliation, no version drift between the document the client sees and the workbook your team retains.
Layouts adapt automatically: leasehold assets show truncated cashflows where the lease expires inside the hold period; freeholds show the terminal-value row; single-asset exports render in the asset's local currency; portfolio exports render in the engagement currency; net or gross yield convention shifts the labels in lockstep with the underlying formula. Across a team of valuers, this is the difference between deliverables that need partner-level reformatting hours and ones that go to clients directly.
Single-source PDF + Excel · adaptive layouts · institutional output · zero reformattingSupporting workspaces your team uses every day — property entry, engagement setup, P&L projections, cross-portfolio comparison.
Hotel valuation methodologies differ across firms. Location adjustment frameworks. Discount rate construction. Terminal value treatment. The handling of acquisition costs within yield calculations. Even practices that follow the same standards land on meaningfully different numbers.
Hotel Val Hub adapts to your firm's specific methodology rather than imposing one approach. The platform ships with a sophisticated default — yield decomposition with PEY-based exit cap construction, three-path terminal value, USALI-aligned reporting structure, RICS Red Book practice (VPS 3, VPGA 4, 2023 PIP on DCF), end-of-period discounting, acquisition costs treated within PEY. Behind the default sits our proprietary framework, developed from years of institutional hotel valuation. Adopt it, customise it against your firm's existing practice, or use it as a reference benchmark.
Implementation is led directly by Duc-Vinh Lai — both senior hotel valuer and the platform's builder. Your firm's methodology is translated into the platform's data model by someone who understands both sides. The result is a flexible institutional platform configured to fit how your team values hotels, not the other way around.
Discuss your methodology with usArgus and CoStar are powerful tools, designed primarily for commercial real estate and institutional portfolio management. Hotel Val Hub is designed specifically for hotel valuation in advisory firms — USALI-aligned P&L capture, fixed/variable modeling native to hotel operations, DCF flows that match the methodology your team already uses. The right level of specificity for hotel work, rather than a generic real estate tool adapted for hotels.
Hotel Val Hub is built by Duc-Vinh Lai, with 15+ years of operational real estate expertise — including building global hotel valuation tools used by hundreds of professionals. EMASES exists because Duc-Vinh lived the problem daily: the fragmented Excel workflows, the manual reformatting, the audit trail reconstruction when challenged. Hotel Val Hub is the platform he wanted to use, built by a practitioner for practitioners.
When advisory firms implement Hotel Val Hub, Duc-Vinh sits with the firm's senior valuers to translate their methodology into the platform directly. That's the practical difference between a generic real estate tool a firm has to bend itself around, and an institutional valuation platform a senior valuer configured to your team's work.
Schedule a 30-minute conversation with Duc-Vinh. We'll walk through Hotel Val Hub, hear how your team currently values hotels, and explore which commercial model — partnership or managed software — fits your firm best.
Schedule a conversationOr email directly: ducvinhlai@emasesglobal.com