Fairvalue-Calculator Fairvalue-Calculator
EN DE

Transocean Ltd (RIG) Fair Value & Analysis

Energy · US · Market cap $6.9B

Price$5.29
Fair Value$3.18
Upside-39.9%
Quality95/100
Evidence: Medium Range $1.24 – $5.03

Analysis

Transocean Ltd (RIG) currently trades at $5.29, while our model-based Fair Value estimate is $3.18 — implying the stock looks roughly 39.9% overvalued today. We read business quality at 95/100 (high quality), in the Energy sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).

About the company

Transocean Ltd., together with its subsidiaries, provides offshore contract drilling services for oil and gas wells in Switzerland and internationally. The company contracts mobile offshore drilling rigs, related equipment, and work crews to drill oil and gas wells. It also operates a fleet of mobile offshore drilling units, consisting of ultra-deepwater floaters and harsh environment semisubmersibles. It serves integrated energy companies and their affiliates, government-owned or government-controlled energy companies, and other independent energy companies. Transocean Ltd. was founded in 1926 and is based in Zug, Switzerland.

Open the full interactive analysis →

Similar stocks

Noble Corporation (NE) -47% Valaris Limited (VAL) -41% Sinopec Oilfield Service Corporation (600871) -67% Patterson-UTI Energy, Inc (PTEN) -11% Helmerich & Payne, Inc (HP) -23% Seadrill Limited (SDRL) -44%

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.