How Our Analysis Works
PropBrief runs two types of analysis: one for property owners deciding whether to sell or rent out, and one for buyers evaluating a purchase. Both are built for the Singapore market.
Sell or Rent Out Analysis
What We Calculate
We model two parallel futures for the same property over your chosen analysis period (typically 3 to 10 years), then compare the financial outcome of each.
Scenario 1: Sell the property
We start with the expected sale price, then subtract agent commission, outstanding mortgage payoff, and the CPF refund (principal used plus accrued interest at 2.5% p.a.). The result is the net cash the owner walks away with.
We then project what happens if that cash is invested at a specified annual return rate (the default is 4%, roughly in line with a balanced portfolio). The year-by-year compound growth shows what the seller's capital could become.
Scenario 2: Hold and rent out
We run a month-by-month mortgage amortization that accounts for the fixed-rate lock-in period and the transition to a floating rate. When the fixed period expires, we recalculate the monthly payment based on the new rate and remaining balance.
Each month, we compute the net cash flow: rental income minus mortgage payment, maintenance fees, and property tax. We also track equity buildup through principal repayment and property appreciation at the specified annual rate.
Total return for each year is the sum of cumulative cash flow, total equity built, and appreciation gained. This captures the full picture, not just rental income.
Our Recommendation Logic
Our verdict is not a simple comparison of two numbers. We evaluate multiple factors in priority order, each designed to catch a specific scenario that matters in the Singapore property market.
Yield check
First, we look at the gross rental yield (annual rent divided by property value). If the yield is extremely low, the property is simply not working hard enough as an investment. For context, the average gross rental yield for Singapore residential property sits around 3-4%, and S-REITs typically offer 5-6% with no maintenance responsibilities. A property yielding well below these benchmarks is tying up significant capital for minimal return.
Cash flow check
Next, we consider whether the property generates positive or negative monthly cash flow. A property with both a below-average yield and negative cash flow is costing the owner money every month with no proportional upside. Even when yields are acceptable, persistent negative cash flow combined with weaker total returns tips the balance toward selling.
Total return comparison
We compare the projected gains from selling and investing versus the total return from holding (cash flow plus equity buildup plus appreciation). When one option meaningfully outperforms the other relative to the property's value, we recommend it. When the difference is marginal, we call it what it is: a close call where personal circumstances should guide the decision.
The thresholds we use are calibrated against current Singapore market data. We update these benchmarks regularly so the analysis reflects actual market conditions, not stale assumptions.
Singapore-Specific Factors
Additional Buyer's Stamp Duty (ABSD)
ABSD significantly affects the decision to sell, especially for owners considering purchasing another property. Rates range from 0% (Singapore citizen, first property) to 60% (foreigners). For a citizen buying a second property, 20% ABSD on the new purchase price is a substantial cost that must factor into any plan to sell and buy.
Seller's Stamp Duty (SSD)
Properties sold within the first three years of purchase incur SSD at 12%, 8%, or 4% depending on the holding period. This can wipe out any gains from selling early. Our analysis helps agents show clients exactly when the SSD window closes and how it affects the sell scenario.
CPF Accrued Interest
When CPF funds are used for a property purchase, the CPF Board requires both the principal and the accrued interest (at 2.5% p.a.) to be refunded upon sale. This is often an overlooked cost that reduces the net cash from selling. The longer you have held the property, the larger this amount grows.
Property Tax
Singapore uses a progressive property tax system with different rates for owner-occupied and non-owner-occupied (investment) properties. Investment property tax rates are significantly higher, ranging from 12% to 36% of the annual value, compared to 0% to 20% for owner-occupied. This difference directly affects the monthly cash flow in the rent-out scenario.
Important Limitations
Our analysis is a projection tool, not a crystal ball. These are the key limitations to keep in mind:
- Appreciation is assumed constant. In reality, property values are volatile. A 2.5% annual appreciation assumption smooths out what could be a bumpy ride with years of flat or declining prices followed by sharp recoveries.
- Renovation and repair costs are not included. Older properties or those requiring tenant turnovers may need significant spending that reduces actual returns.
- Emotional and lifestyle value is not quantified. A home is more than an asset. Proximity to family, schools, or workplaces carries real value that does not appear in a spreadsheet.
- This is not financial advice. PropBrief is a decision support tool for licensed property agents. The analysis should be one input among many in a client conversation, not a substitute for professional financial planning.
Data Sources
Our market benchmarks are sourced from publicly available Singapore government and industry data:
- Average gross rental yields from URA rental and price data
- S-REIT average yields from SGX market data
- ABSD and SSD rates from IRAS published schedules
- Property tax brackets from IRAS
- CPF accrued interest rate from CPF Board
- Interest rate benchmarks from MAS SORA data
These benchmarks are reviewed and updated regularly to reflect the latest published figures. The date of each benchmark's last update is recorded in our system.
Property Purchase Analysis
What the Purchase Calculator Does
The Property Purchase calculator gives agents a comprehensive affordability and cost analysis for clients who want to buy a property in Singapore. It answers the key questions: Can my client afford this? How much cash do they need upfront? What will it cost them every month?
Key Calculations
Buyer's Stamp Duty (BSD)
BSD is calculated on a progressive scale: 1% on the first $180,000, 2% on the next $180,000, 3% on the next $640,000, 4% on the next $500,000, 5% on the next $1,500,000, and 6% on any amount above that. For a $1.5M condo, BSD comes to $44,600.
Additional Buyer's Stamp Duty (ABSD)
ABSD rates depend on citizenship and how many properties the buyer already owns. Singapore Citizens pay 0% on their first property, 20% on the second, and 30% on the third or more. Permanent Residents pay 5% on their first and 30% on the second. Foreigners pay 60% on any property. This is often the biggest cost surprise for buyers, and the calculator shows it clearly.
TDSR and MSR Checks
The Total Debt Servicing Ratio (TDSR) limits total monthly debt payments to 55% of the buyer's gross monthly income. This includes the proposed mortgage plus any existing debt obligations (car loans, personal loans, credit card minimum payments).
For HDB purchases, an additional Mortgage Servicing Ratio (MSR) applies: the mortgage payment alone cannot exceed 30% of gross monthly income. The calculator checks both ratios and flags any violations.
Loan-to-Value (LTV) Limits
LTV limits determine how much the buyer can borrow. A first-time buyer with no outstanding loans can borrow up to 75% of the property value (bank loan) or 80% (HDB loan). If the buyer has an outstanding loan, the limit drops to 45%. For a second property, it is 45%. For a third or more, it is 35%. The calculator uses LTV to determine the minimum down payment.
Monthly Cost of Ownership
Beyond the mortgage payment, the calculator includes maintenance fees and property tax. Property tax is calculated using owner-occupied progressive rates on the estimated annual value. The total monthly cost gives the buyer a realistic picture of what they will pay each month.
Verdict Logic
The purchase verdict uses four tiers based on the buyer's TDSR ratio and cash position:
- Well Within Budget TDSR ratio under 40%. The buyer has a healthy buffer and can comfortably handle the monthly payments.
- Affordable TDSR ratio between 40% and 50%. The numbers work, but the margin is moderate.
- Tight TDSR ratio between 50% and 55%. The purchase barely passes the regulatory limit. Monthly payments leave very little room for unexpected expenses.
- Over Budget The buyer fails TDSR, MSR, or does not have enough cash for the minimum down payment and stamp duties. The calculator shows the maximum affordable purchase price.
Buy vs. Rent Projection
If the buyer is currently renting, the calculator projects both paths over the selected holding period. The buy path tracks cumulative costs (mortgage, maintenance, property tax, upfront costs) minus equity buildup (principal paid down plus property appreciation). The rent path tracks cumulative rent paid (with annual increases) and investment returns on the money that would have gone toward the down payment.
The break-even point is the year when buying becomes the better financial choice. A break-even under 5 years is strong. Between 5 and 10 years is reasonable. Over 10 years suggests renting may be the better financial option at these numbers.
Data Sources (Purchase)
- BSD and ABSD rates from IRAS published schedules
- TDSR and MSR limits from MAS property loan rules
- LTV limits from MAS property loan rules
- Owner-occupied property tax brackets from IRAS
- CPF housing usage rules from CPF Board
All rates were last verified in March 2026 and are subject to change with government policy announcements. We review and update these regularly.
Property Upgrade Analysis
How We Analyse a Property Upgrade
This calculator models the financial flow of selling one property and buying another. It answers the question: do the numbers work?
Sale proceeds calculation
When you sell a property in Singapore, several deductions come off the top before you see any cash: agent commission (typically 1% to 2%), outstanding mortgage payoff, and the CPF refund. All CPF funds used for the property, plus accrued interest at 2.5% per annum compounding, must be returned to your CPF Ordinary Account.
Seller's Stamp Duty (SSD) applies if a non-HDB property is sold within 3 years of purchase: 12% in year 1, 8% in year 2, 4% in year 3. SSD does not apply to HDB flats.
After these deductions, the remaining amount is your net cash proceeds. The CPF refund goes back to your OA and can be reused for the next property purchase.
Purchase cost calculation
The purchase side uses the same methodology as our Property Purchase calculator: BSD (tiered from 1% to 6%), ABSD (based on citizenship and number of properties owned after the transaction), down payment split between cash and CPF based on LTV limits, legal fees, and agent commission.
The funds flow
We connect the two sides: does the cash from selling Property A, combined with additional savings, cover the cash needed to buy Property B? We track cash and CPF separately because stamp duties (BSD and ABSD) must be paid in cash and cannot come from CPF.
Affordability check
We verify the new mortgage passes TDSR (55% of gross monthly income) and, for HDB purchases, MSR (30% of gross monthly income). The mortgage on the property being sold is excluded since it will be discharged.
Verdict
Four outcomes based on funds availability and income requirements:
- Smooth Upgrade Sale proceeds cover everything with room to spare, healthy TDSR ratio.
- Feasible The numbers work but with limited buffer.
- Stretch Small cash shortfall or TDSR near the limit.
- Not Ready Significant shortfall or fails income requirements.
Data sources
- Stamp duty rates: IRAS, verified March 2026
- TDSR and MSR limits: MAS, verified March 2026
- LTV limits: MAS, verified March 2026
- CPF accrued interest rate: CPF Board, verified March 2026
Next scheduled review: September 2026 or after any government policy announcement.
PropBrief by Vanda AI