Patek Philippe·Ref. 5167A·Stainless steel
Patek Philippe Aquanaut 5167A
$81,890Range: $68,665 – $82,165highUpdated Apr 30, 2026 · Model v1.1
Executive Summary
SignalHold
Fair Value
$81,890
30-Day
-1.7%
90-Day
—
Confidence
79/100
Analysis
Slight decline (-1.7% recent trend)Tight ask-sold gap (-13%)High data confidence3 independent data sourcesStrong liquidity (54 comps)
Algorithmic signal based on public market data. Not financial advice.
Fair Value
$81,890
54 comps
Ask Median
$75,125
43 listings
Sold Median
$86,400
11 results
Confidence
High
79/100
Market Trend
-1.7%
30 days
Momentum
Slightly bearish
Market Intelligence
Market Liquidity
High
64 comps across 3 sources
Last Observation
Apr 12, 2026
Most recent data point
Data Sources
Phillips
10 auctions10
Chrono24
52 listings52
Sotheby's
2 auctions2
Valuation History
Auction Results
| Source | Title | Sold | Date |
|---|---|---|---|
| Sotheby's | Patek Philippe Reference 5167A-001 Aquanaut | Retailed by Tiffany & Co.: A stainless steel automatic wristwatch with date, Circa 2015 | $95,250 | Jun 10, 2025 |
| Sotheby's | Patek Philippe Aquanaut, Reference 5167A-001 | A stainless steel wristwatch with date | Circa 2016 Standard VAT applies to hammer price and buyer's premium | $54,051 | May 14, 2025 |
| Phillips | PHILIPPE | $100,457 | May 10, 2025 |
| Phillips | PHILIPPE | $52,019 | Mar 19, 2025 |
| Phillips | PHILIPPE | $52,019 | Nov 23, 2024 |
| Phillips | PHILIPPE | $91,034 | May 24, 2024 |
| Phillips | PHILIPPE | $60,274 | Mar 5, 2024 |
| Phillips | PHILIPPE | $162,560 | Nov 24, 2023 |
| Phillips | PHILIPPE | $52,019 | May 24, 2023 |
| Phillips | PHILIPPE | $200,914 | May 13, 2023 |
| Phillips | PHILIPPE | $121,023 | May 7, 2022 |
| Phillips | PHILIPPE | $86,400 | Jul 10, 2020 |
Marketplace Listings
How this value is calculated
The LuxMetrix fair value blends two independent signals: what sellers are asking on marketplaces (weighted 40%) and what buyers have actually paid at auction (weighted 60%). Outliers are removed using IQR filtering, and a confidence score reflects data quality.
Read the full methodology →