Valaris (VAL) Accumulated Expenses (2010 - 2021)
Valaris (VAL) posted Accumulated Expenses of $69.4 million for Q4 2011, compared with $2.1 million a year earlier and up 86.1% from the prior quarter.
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Analysis
Valaris (VAL) Accumulated Expenses (2010 - 2021) Analysis & Trends
Since Q4 2010, Valaris has reported Accumulated Expenses for 4 quarters.
- In prior years, Valaris' Accumulated Expenses was $2.1 million in FY2010.
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 |
|---|---|
| Mar 31, 2021 | 235.40 Mn |
| Dec 31, 2020 | 196.20 Mn |
| Sep 30, 2019 | 625.70 Mn |
| Mar 31, 2019 | 528.50 Mn |
| Dec 31, 2018 | 398.50 Mn |
| Sep 30, 2018 | 758.50 Mn |
| Mar 31, 2018 | 758.50 Mn |
| Sep 30, 2017 | 522.50 Mn |
| Jun 30, 2017 | 522.50 Mn |
| Mar 31, 2017 | 522.50 Mn |
| Mar 31, 2016 | 775.50 Mn |
| Dec 31, 2015 | 4.22 Bn |
| Sep 30, 2015 | 1.07 Bn |
| Jun 30, 2015 | 1.07 Bn |
| Mar 31, 2015 | 1.07 Bn |
| Dec 31, 2014 | 999.80 Mn |
| Sep 30, 2014 | 999.80 Mn |
| Jun 30, 2014 | 999.80 Mn |
| Mar 31, 2014 | 999.80 Mn |
| Sep 30, 2013 | 942.20 Mn |
API Access
Valaris 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=VAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VAL", "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=VAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();