Investment Research · Power BI · 2026
Rolex vs S&P 500
A quantitative study of luxury watches as an investment asset

References analysed
38
Time horizon
2009–2026
Data points
1,400+
Modern steel CAGR
1.7–6.3%
Overview
A 36-page quantitative analysis of 38 Rolex references against the S&P 500 from 2009 to 2026. Built around a Power BI dashboard that lets you explore CAGRs, drawdowns, and the COVID-era bubble cycle reference by reference.
Dashboard
Explore it in Power BI
Filter by reference, era and material; benchmark any watch against the S&P 500 over the same window.
The question
Are Rolex watches a credible alternative to broad equity exposure? The COVID-era bubble made the answer feel obvious — until the 2022 correction. We wanted a reference-level, not basket-level, picture.
Approach
Price histories were collected from Chrono24 with WatchCharts and Knight Frank KFLII as supplementary sources. Each reference is treated as its own asset with holding-period returns, CAGR, and peak-to-trough drawdowns, then benchmarked against the S&P 500 over equivalent windows.
What the dashboard shows
Filter by collection, era, or material to compare any reference against the S&P 500. KPI cards surface CAGR, max drawdown and bubble premium; the time series view layers price history with the index for direct visual comparison.
Findings
Modern steel sport references underperform equities materially after costs. Select vintage references (Submariner 5512/6200/6538, Sea-Dweller 1665, Paul Newman Daytonas) reach 12–14% CAGR but carry condition, liquidity and transaction-cost risk that erodes the apparent edge.
Discipline
- Power BI
- Python (data prep)
- Excel modelling
- Academic writing
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