Exclusive Condo Insights 2026
For Singapore condo buyers and investors who want data before they commit
The biggest risk in today's condo market is not just choosing the wrong district or the wrong launch story. It is assuming that a "safe-looking" project will naturally produce a strong outcome. In this tracked universe, one Penrose buyer entered at S$1.556M and exited with S$862,888 in profit, while an Echelon buyer entered at almost the exact same price point — S$1.555M — but made only S$155,000. The point is not that one project is always good and the other is always bad. The point is that buyers cannot afford to rely on surface-level heuristics when the real outcomes can diverge so sharply.
Entered at S$1.556M and exited with S$862,888 profit over a medium-term hold.
Nearly the same entry price. A radically different exit result.
That is exactly why this report matters: it helps buyers see the hidden patterns before they commit their capital.
Explore the key insights that separate strong outcomes from weak ones.
See why small units underperformed and why larger formats captured materially higher profits.
Understand where proximity supports returns and where distance decay starts to hurt.
Compare freehold and 99-year outcomes using realized resale performance instead of assumptions.
See which transformation stories translated into actual returns and which lagged.
Identify districts with stronger profit floors and steadier downside protection.
The report does not speak in generalities. It shows what actually happened across named developments, buyer cohorts, and unit types.
216 transactions
167 transactions
269 transactions
167 transactions
128 transactions
150 transactions
143 transactions
135 transactions
This is not a commentary piece built around one or two lucky case studies. The report is grounded in 26,024 transaction records, merged against a project-level dataset containing tenure, region, TOP year, MRT distance, density, and catalyst context, across 140 matched projects.
Transactions Analysed
Matched Projects
Costly Mistakes
All insights are drawn from the tracked universe. Where data is unavailable, the report states so explicitly rather than estimating.
You will receive the free PDF report covering the main findings, named project examples, and the 12 costly buyer mistakes surfaced from the dataset.
The analysis uses the current workbook universe available for this project, including 2026 benchmark fields in the project-level file.
No. It is also useful for own-stay buyers who want to avoid overpaying or choosing a weaker project.
Yes. The report references specific developments and real exit patterns where the data supports the point.
