Patek Philippe Index
Tracks the collectible top end of the market — often diverges from the Rolex-dominated mainstream core.
1.4kindex
Trend YoY growth is -7.4%, slowing by 4.1 pp/year over the last 6Y. Deviations have remained above trend for 19 consecutive periods. Latest: +2.9%, 10.3 pp above trend, a 1.0σ deviation. The latest YoY reading is depressed by 0.5 pp due to an tough comparison base from May 30. At current levels, YoY would rise to +5.3% by Sep '26 as comparisons ease.
Level
YoY %
y = 17.6% − 4.1 pp/yr · t
Deviation from trend
Forecast
Projected value by forecast vintage (index)
Projected value (index)
| Forecast made in | Oct '25 | Nov '25 | Dec '25 | Jan '26 | Feb '26 | Mar '26 | Apr '26 | May '26 | Jun '26 | Jul '26 | Aug '26 | Sep '26 | Oct '26 | Nov '26 | Dec '26 | Jan '27 | Feb '27 | Mar '27 | Apr '27 | May '27 | Jun '27 | Jul '27 | MAPE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Oct '25 | 1.3k | 1.3k | 1.3k | 1.3k | 1.4k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.4k | 1.4k | 1.3k | 343% |
| Nov '25 | 1.3k | 1.3k | 1.3k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.5k | 1.5k | 1.5k | 1.5k | 79% | |
| Dec '25 | 1.3k | 1.3k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.5k | 1.5k | 1.5k | 1.5k | 1.5k | 1.5k | 96% | ||
| Jan '26 | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.5k | 1.5k | 1.5k | 1.5k | 1.5k | 1.5k | 120% | |||
| Feb '26 | 1.4k | 1.4k | 1.4k | 1.3k | 1.4k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 87% | ||||
| Mar '26 | 1.4k | 1.4k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.4k | 1.4k | 1.3k | 209% | |||||
| Apr '26 | 1.4k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.3k | 1.4k | 1.4k | 1.4k | 1.3k | 166% | ||||||
| May '26 | 1.4k | 1.4k | 1.4k | 1.3k | 1.3k | 1.3k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.5k | 1.5k | 1.4k | ||||||||
| Jul '26 | 1.4k | 1.3k | 1.3k | 1.3k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.4k | 1.5k | 1.5k | 1.4k |
YoY change forecast
| Forecast made in | Oct '25 | Nov '25 | Dec '25 | Jan '26 | Feb '26 | Mar '26 | Apr '26 | May '26 | Jun '26 | Jul '26 | Aug '26 | Sep '26 | Oct '26 | Nov '26 | Dec '26 | Jan '27 | Feb '27 | Mar '27 | Apr '27 | May '27 | Jun '27 | Jul '27 | MAPE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Oct '25 | -2.5% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | -3.3% | 343% |
| Nov '25 | -0.2% | -1.5% | -1.0% | -0.4% | +0.0% | +0.6% | +1.1% | +1.6% | +2.2% | +2.7% | +3.2% | +3.7% | +4.3% | +4.8% | +5.3% | +5.9% | +6.3% | +6.9% | +7.4% | +7.9% | +8.4% | 79% | |
| Dec '25 | -1.9% | -1.1% | -0.4% | +0.1% | +0.7% | +1.3% | +2.0% | +2.6% | +3.2% | +3.8% | +4.4% | +5.0% | +5.6% | +6.3% | +6.9% | +7.4% | +8.1% | +8.7% | +9.3% | +9.9% | 96% | ||
| Jan '26 | -0.9% | -0.4% | +0.2% | +0.9% | +1.6% | +2.3% | +2.9% | +3.6% | +4.3% | +5.0% | +5.7% | +6.4% | +7.1% | +7.8% | +8.4% | +9.1% | +9.8% | +10.5% | +11.1% | 120% | |||
| Feb '26 | -3.5% | -1.5% | -1.2% | -0.9% | -0.6% | -0.3% | +0.0% | +0.3% | +0.5% | +0.8% | +1.1% | +1.4% | +1.7% | +2.0% | +2.3% | +2.6% | +2.9% | +3.2% | 87% | ||||
| Mar '26 | -2.7% | -2.2% | -2.3% | -2.3% | -2.3% | -2.3% | -2.3% | -2.4% | -2.4% | -2.4% | -2.4% | -2.5% | -2.5% | -2.5% | -2.5% | -2.6% | -2.6% | 209% | |||||
| Apr '26 | -0.7% | -1.9% | -1.9% | -2.0% | -2.0% | -2.0% | -2.1% | -2.1% | -2.1% | -2.2% | -2.2% | -2.2% | -2.3% | -2.3% | -2.4% | -2.4% | 166% | ||||||
| May '26 | +2.9% | +0.1% | +0.5% | +0.8% | +1.2% | +1.6% | +1.9% | +2.3% | +2.7% | +3.0% | +3.4% | +3.7% | +4.1% | +4.5% | +4.8% | ||||||||
| Jul '26 | +0.5% | +0.8% | +1.2% | +1.6% | +1.9% | +2.3% | +2.7% | +3.0% | +3.4% | +3.7% | +4.1% | +4.5% | +4.8% |
Forecasts use ordinary least-squares linear regression fitted to the YoY change series over a rolling 6M window. Each row shows a vintage — the forecast as it would have appeared at that point in time. Projected values apply the forecasted YoY change to the prior year's level, chaining forward where actuals are unavailable. MAPE measures forecast accuracy against realized values. These are mechanical trend extrapolations, not economic models.