Transocean (RIG) Accumulated Expenses (2009 - 2025)
Transocean's Accumulated Expenses was $101 million in Q4 2025, down 24.6% from $134 million a year earlier.
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Analysis
Transocean (RIG) Accumulated Expenses (2009 - 2025) Analysis & Trends
From Q4 2009 onward, Transocean has reported Accumulated Expenses for 17 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $134 million in FY2024 (-8.2%), $146 million in FY2023 (+29.2%), $113 million in FY2022 (-6.6%) and $121 million in FY2021 (-5.5%).
- The Q4 2025 figure marks the lowest quarterly Accumulated Expenses since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn |
| 10 | Kodiak Gas Services | 4.28 Bn | 3.96 Bn | 259.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 101.00 Mn |
| Dec 31, 2024 | 134.00 Mn |
| Dec 31, 2023 | 146.00 Mn |
| Dec 31, 2022 | 113.00 Mn |
| Dec 31, 2021 | 121.00 Mn |
| Dec 31, 2020 | 128.00 Mn |
| Dec 31, 2019 | 169.00 Mn |
| Dec 31, 2018 | 184.00 Mn |
| Dec 31, 2017 | 127.00 Mn |
| Dec 31, 2016 | 135.00 Mn |
| Dec 31, 2015 | 82.00 Mn |
| Dec 31, 2014 | 95.00 Mn |
| Dec 31, 2013 | 108.00 Mn |
| Dec 31, 2012 | 122.00 Mn |
| Dec 31, 2011 | 132.00 Mn |
| Dec 31, 2010 | 97.00 Mn |
| Dec 31, 2009 | 83.00 Mn |
API Access
Transocean Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RIG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();