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Coliving Yield vs BTR Calculator

See how the same asset performs as Coliving, Buy-to-Let, and Holiday Let. Side-by-side P&L, cap rates, IRR, and break-even occupancy across major global markets.

How It Works

1

Enter Your Deal

Purchase price, market, bedrooms, operating model, and target IRR. Defaults reflect typical mid-market deals you can adjust.

2

See Three Scenarios Side-by-Side

Coliving (per-bed), BTR (whole property), and Holiday Let. Compare gross revenue, opex, NOI, cap rate, IRR, and break-even occupancy.

3

Download the Underwriting Memo

Branded PDF with full P&L tables, sensitivity analysis at -20% occupancy, recommended scenario, and 5 reasons why coliving wins (or doesn't) in your market.

Deal Inputs

5%25%

Enter your deal inputs and click "Calculate Yield Comparison" to see Coliving vs BTR vs Holiday Let side-by-side.

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Why coliving consistently beats BTR — and when it doesn't

Most investors evaluate residential assets through a Buy-to-Let lens because BTR is the operating model they understand. The math is simple, the leases are long, and the operating risk is minimal. But on a per-square-meter basis, coliving routinely generates 30-80% more revenue than BTR on the same asset — sometimes more in tight urban markets where per-bed rents have decoupled from whole-property rents.

The reason: coliving converts the property into multiple revenue lines (rent, utilities, ancillaries, services), prices per bed instead of per unit, and reprices 1-2x per year instead of every 12 months. The trade-off is operational: you need community managers, higher marketing spend, more turnover, and a tech stack that handles per-bed billing. The headline yield is bigger, but so is the opex.

Holiday Lets sit in the middle on revenue but carry the highest regulatory and seasonality risk. Cities from Barcelona to Lisbon to NYC have introduced short-term rental caps that wiped out IRRs overnight. The right answer to 'what should I do with this asset?' depends on your market, your operating capability, and your risk tolerance — not just the gross yield.

This calculator surfaces all three scenarios on the same asset, models the P&L line-by-line, and gives you the cap rate and IRR you need to walk into an investment committee with a real answer.

Use this tool as the screening layer. Once it tells you which model wins on your asset, run a full DCF before committing capital.

Built for everyone underwriting a residential asset

Specific scenarios where the side-by-side comparison creates a clear decision.

First-time investor

You own (or are about to buy) a property and someone has pitched you on coliving. Run all three models to see if coliving actually beats your default BTR plan on this specific asset.

Existing BTR landlord

You have a 4-6 bedroom property currently leased BTR. Use the calculator to see whether converting to coliving justifies the renovation and operational complexity.

Coliving developer / sponsor

Bring a coherent yield narrative to your investor pitch. The side-by-side table is the page that closes LPs who default to BTR comparisons.

Family office / private investor

Compare returns under master-lease, owner-operator, and management-contract structures. Pick the structure that matches your appetite for operational involvement.

Holiday-let operator considering a pivot

Short-term rental regulation tightening in your city? Model the same asset as coliving to see whether the regulatory hedge is also a yield upgrade.

Acquirer evaluating a portfolio

Run each property through all three scenarios to identify the assets where the current operating model is leaving money on the table.

What you'll get

A side-by-side P&L and a downloadable underwriting memo for IC.

Sample Output Preview
  • Side-by-side P&L: gross revenue, opex, NOI for Coliving / BTR / Holiday Let
  • Cap rate and 5-year IRR estimate for each scenario at your purchase price
  • Break-even occupancy by scenario — the number that actually matters in a downturn
  • Sensitivity analysis at -20% occupancy showing which scenario survives the recession
  • Risk-adjusted score factoring regulatory, demand, and operational complexity
  • Recommended scenario and the 5 reasons coliving wins (or doesn't) on this specific asset

Branded PDF unlocked for distribution. Take it directly to your IC or LP meeting.

The numbers that drive the comparison

30-80%

revenue uplift coliving typically delivers vs BTR on the same asset

EC operator dataset

5-12pp

higher opex ratio for coliving vs BTR (community, marketing, turnover)

EC operator dataset

85-95%

stabilised occupancy for well-run coliving vs ~95-98% for BTR

EC benchmarks

5-15%

of cities now cap or restrict short-term rentals — risk premium for Holiday Let

Public regulatory data

The 5 mistakes investors make in this comparison

1

Underestimating coliving opex

Coliving needs community managers, higher marketing spend, and more turnover handling. If you model BTR opex with coliving rents, the headline yield looks irresistible — and unrealistic.

2

Modelling 100% stabilised occupancy from day one

New coliving properties take 3-6 months to ramp to 85%+ occupancy. Underwrite at stabilised occupancy and a realistic ramp curve, not month-one full.

3

Ignoring regulatory risk on Holiday Let

Holiday Let yields look great until your city caps short-term rentals. Bake regulatory risk into the IRR — or apply a 20-30% discount to gross revenue to stress-test.

4

Comparing gross yield instead of risk-adjusted return

Coliving has higher gross yield but more operational risk; BTR has lower gross yield but stable cash flow. Compare risk-adjusted return — which is exactly what this calculator's risk score does.

5

Skipping the sensitivity analysis

A scenario that wins at 90% occupancy but loses at 75% is fragile. The sensitivity row at -20% occupancy is the most important line in the output.

Frequently Asked Questions

What does this calculator do?
It models annual gross revenue, operating expenses, NOI, cap rate, 5-year IRR, break-even occupancy, and risk profile for the same asset under three operating strategies: Coliving (per-bed), BTR / Buy-to-Let (whole property), and Holiday Let (Airbnb-style short-term).
Where do the underlying assumptions come from?
Per-bed coliving rents, whole-property BTR rents, and short-term ADRs are calibrated against published market data from Savills, JLL, Cushman & Wakefield, AirDNA, and HomeAway/Vrbo. Opex ratios and stabilized occupancies reflect typical industry benchmarks. Treat the outputs as directional, not as deal underwriting.
Why does coliving usually generate more gross revenue than BTR?
Per-bed pricing captures higher revenue density per square meter, all-inclusive billing converts utilities into ancillary margin, and shorter average stays let you reprice 1-2x per year vs annual BTR leases. The trade-off is higher opex (community managers, marketing, turnover).
How is 5-year IRR estimated?
We use a simplified model: stabilized cap rate plus a blended ~5% premium to reflect typical leverage (60% LTV at ~5% mortgage cost) and modest 3% NOI growth, with exit at the entry cap rate. For institutional underwriting, a full DCF with explicit debt service and exit assumptions is recommended.
What's the difference between the three operating models?
Master Lease: an operator pays you guaranteed rent (lower upside, lower risk — ~12% revenue haircut). Owner-Operator: you run the business yourself (full upside, full risk). Management Contract: a third-party operator runs it for a fee (capped revenue at ~5% haircut, moderate risk).
Why does the holiday-let column sometimes look the strongest?
Holiday lets generate the highest gross revenue per night, but they carry the lowest risk-adjusted score because of regulatory volatility, demand seasonality, and high opex (cleaning, channel fees, dynamic pricing tools). Many cities have introduced short-term rental caps that can wipe out IRR overnight.
How accurate are the cap rates?
Cap rates are derived from your purchase price and our modeled NOI. They're directionally accurate for stabilized operations in mature markets but should be cross-checked against your specific deal: actual rents, local opex (especially staff), and any local taxes or HOA fees the model doesn't capture.
Can I use this for institutional underwriting?
Use it as a screening tool to pre-qualify a deal. For institutional underwriting, we recommend pairing it with a full DCF model that includes debt service, exit cap assumptions, and tax. Book a strategy call and we'll share our institutional template.

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