Seadrill (SDRL) Accumulated Expenses (2017 - 2026)
Seadrill's Accumulated Expenses was $163 million in Q4 2024, up 39.3% from $117 million a year earlier.
Powered by 
Analysis
Seadrill (SDRL) Accumulated Expenses (2017 - 2026) Analysis & Trends
From Q4 2017 onward, Seadrill has reported Accumulated Expenses for 5 quarters.
- In earlier years, Accumulated Expenses was $117 million in FY2023 (-5.6%) and $124 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 76.30 Bn | 73.91 Bn | 1.57 Bn |
| 2 | Baker Hughes | 49.10 Bn | 11.25 Bn | 1.96 Bn |
| 3 | Halliburton | 27.94 Bn | 19.88 Bn | 840.00 Mn |
| 4 | TechnipFMC | 25.83 Bn | 21.81 Bn | 728.70 Mn |
| 5 | Noble | 6.97 Bn | 5.04 Bn | 228.22 Mn |
| 6 | Nov | 6.45 Bn | 1.39 Bn | 439.00 Mn |
| 7 | Weatherford International | 6.27 Bn | 2.04 Bn | 374.00 Mn |
| 8 | Transocean | 6.19 Bn | 4.23 Bn | 348.00 Mn |
| 9 | Valaris | 5.84 Bn | 3.59 Bn | 176.30 Mn |
| 10 | Seadrill | 2.80 Bn | 1.33 Bn | 194.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 164.00 Mn |
| Jun 30, 2026 | 127.00 Mn |
| Mar 31, 2026 | 169.00 Mn |
| Dec 31, 2025 | 137.00 Mn |
| Sep 30, 2025 | 190.00 Mn |
| Jun 30, 2025 | 188.00 Mn |
| Mar 31, 2025 | 142.00 Mn |
| Dec 31, 2024 | 163.00 Mn |
| Sep 30, 2024 | 114.00 Mn |
| Mar 31, 2024 | 106.00 Mn |
| Dec 31, 2023 | 117.00 Mn |
| Sep 30, 2023 | 105.00 Mn |
| Mar 31, 2023 | -5.00 Mn |
| Dec 31, 2022 | 124.00 Mn |
| Feb 22, 2022 | 108.00 Mn |
| Dec 31, 2021 | 21.30 Mn |
| Dec 31, 2018 | 107.00 Mn |
| Dec 31, 2017 | 103.00 Mn |
API Access
Seadrill 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=SDRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SDRL", "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=SDRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();