Tudor Black Bay Fifty-Eight M79030N black dial dive watch
Tudor·Ref. M79030N·Stainless Steel

Tudor Black Bay 58 M79030N

$3,445Range: $3,065 – $3,912mediumUpdated Apr 30, 2026 · Model v1.1

Executive Summary

SignalHold

Fair Value

$3,445

30-Day

0.0%

90-Day

—

Confidence

50/100

Analysis

Stable pricing trend

Algorithmic signal based on public market data. Not financial advice.

Fair Value

$3,445

24 comps

Ask Median

$3,445

24 listings

Sold Median

—

0 results

Confidence

Medium

50/100

Market Trend

0.0%

30 days

Momentum

Stable

Market Intelligence

Market Liquidity

Low

24 comps across 1 source

Last Observation

Mar 31, 2026

Most recent data point

Data Sources

Chrono24
24 listings24

Valuation History

Auction Results

No auction results available yet.

Marketplace Listings

TitleAskCondition
Tudor Black Bay Fifty-Eight M79030N-0001$3,257Unknown
Tudor Black Bay Fifty-Eight Stainless Steel 200m M79030N$4,995Unknown
Tudor Black Bay Fifty-Eight Heritage Black Bay Fifty-Eight Ref. M79030N-0001$3,873Unknown
Tudor Black Bay Fifty-Eight M79030N-0003 Fitted with Tudor M79030N-0001 bracelet$3,390Unknown
Tudor Black Bay Fifty-Eight 58 – REF. M79030N-0003 Full Set • Very Good Condition • Popular Modern Dive Watch$3,590Unknown
Tudor Black Bay Fifty-Eight 58 M79030n-0002$3,387Unknown
Tudor Black Bay Fifty-Eight M79030N-0002$3,118Unknown
Tudor Black Bay Fifty-Eight 58 (M79030N-0001)$4,230Unknown
Tudor Black Bay Fifty-Eight M79030N-0001$2,907Unknown
Tudor Black Bay Fifty-Eight M79030N-0001$2,878Unknown
Tudor Black Bay Fifty-Eight M79030N-0003$2,643Unknown
Tudor Black Bay Fifty-Eight M79030N-0002$3,900Unknown
Tudor Black Bay Fifty-Eight M79030N 39mm$3,600Unknown
Tudor Black Bay Fifty-Eight M79030N-0001 Full Set$3,214Unknown
Tudor Black Bay Fifty-Eight M79030N-0001 2020 Steel Good$2,900Unknown

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 →