Transocean (RIG) Operating Expenses (2009 - 2026)
Analysis
Transocean (RIG) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.81 Bn | 70.26 Bn | 1.57 Bn | 427.00 Mn |
| 2 | Baker Hughes | 47.88 Bn | 9.61 Bn | 1.96 Bn | 910.00 Mn |
| 3 | Halliburton | 26.33 Bn | 18.23 Bn | 840.00 Mn | 5.08 Bn |
| 4 | TechnipFMC | 25.25 Bn | 21.22 Bn | 728.70 Mn | 2.38 Bn |
| 5 | Noble | 6.55 Bn | 4.63 Bn | 228.22 Mn | 668.68 Mn |
| 6 | Nov | 6.31 Bn | 1.20 Bn | 439.00 Mn | 1.08 Bn |
| 7 | Weatherford International | 6.04 Bn | 1.78 Bn | 374.00 Mn | 990.00 Mn |
| 8 | Transocean | 5.85 Bn | 3.89 Bn | 348.00 Mn | 797.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.27 Bn | 176.30 Mn | 508.80 Mn |
| 10 | Kodiak Gas Services | 4.21 Bn | 3.97 Bn | 246.76 Mn | 266.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 797.00 Mn |
| Jun 30, 2026 | 812.00 Mn |
| Mar 31, 2026 | 798.00 Mn |
| Dec 31, 2025 | 802.00 Mn |
| Sep 30, 2025 | 791.00 Mn |
| Jun 30, 2025 | 823.00 Mn |
| Mar 31, 2025 | 844.00 Mn |
| Dec 31, 2024 | 815.00 Mn |
| Sep 30, 2024 | 800.00 Mn |
| Jun 30, 2024 | 777.00 Mn |
| Mar 31, 2024 | 760.00 Mn |
| Dec 31, 2023 | 803.00 Mn |
| Sep 30, 2023 | 760.00 Mn |
| Jun 30, 2023 | 718.00 Mn |
| Mar 31, 2023 | 636.00 Mn |
| Dec 31, 2022 | 664.00 Mn |
| Sep 30, 2022 | 635.00 Mn |
| Jun 30, 2022 | 660.00 Mn |
| Mar 31, 2022 | 637.00 Mn |
| Dec 31, 2021 | 663.00 Mn |
API Access
Transocean Operating 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=operating-expenses&ticker=RIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();