Rolex·Ref. 126710BLRO·Oystersteel
Rolex GMT-Master II Pepsi
$25,582Range: $25,343 – $29,563highUpdated Mar 19, 2026 · Model v1.0
Executive Summary
SignalHold
Fair Value
$25,582
30-Day
—
90-Day
—
Confidence
79/100
Analysis
Wide ask-sold gap (16%)High data confidenceStrong liquidity (49 comps)
Algorithmic signal based on public market data. Not financial advice.
Fair Value
$25,582
49 comps
Ask Median
$27,936
40 listings
Sold Median
$24,013
9 results
Confidence
High
79/100
Market Trend
—
First snapshot
Momentum
Awaiting data
Market Intelligence
Market Liquidity
Medium
52 comps across 2 sources
Last Observation
Mar 19, 2026
Most recent data point
Data Sources
Phillips
10 auctions10
Chrono24
42 listings42
Valuation History
Auction Results
| Source | Title | Sold | Date |
|---|---|---|---|
| Phillips | A well-preserved stainless steel dual-time wristwatc... | $17,882 | Nov 23, 2024 |
| Phillips | A sporty and attractive stainless steel dual time wr... | $21,527 | May 11, 2024 |
| Phillips | A sporty and attractive stainless steel dual time wr... | $27,052 | Sep 12, 2022 |
| Phillips | A highly rare and attractive stainless steel dual ti... | $25,628 | May 9, 2021 |
| Phillips | A fine and attractive stainless steel dual-time wris... | $24,192 | Mar 23, 2021 |
| Phillips | A fine and attractive stainless steel dual-time wris... | $20,966 | Nov 29, 2020 |
| Phillips | A fine stainless steel dual time automatic wristwatc... | $27,052 | Nov 8, 2020 |
| Phillips | A fine and attractive stainless steel dual time auto... | $17,600 | Sep 2, 2020 |
| Phillips | A fine stainless steel dual time automatic wriswatch... | $38,138 | Jun 28, 2020 |
| Phillips | A fine stainless steel dual time automatic wriswtatc... | $24,013 | Nov 10, 2018 |
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 →