Borr Drilling (BORR) Asset Writedowns and Impairment (2019 - 2023)
Borr Drilling's Asset Writedowns and Impairment came in at -$131.7 million for the quarter ended Dec 31, 2023.
Analysis
Borr Drilling (BORR) Asset Writedowns and Impairment (2019 - 2023) Analysis & Trends
Going back to the quarter ended Mar 31, 2019, Borr Drilling's Asset Writedowns and Impairment data covers 11 quarters.
- Going back by year, Asset Writedowns and Impairment was -$77.1 million in the year ended Dec 31, 2020 and -$11.4 million in the year ended Dec 31, 2019.
- The figure for the quarter ended Dec 31, 2023 represents the lowest quarterly Asset Writedowns and Impairment in data going back to the quarter ended Mar 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn |
| 10 | Borr Drilling | 1.20 Bn | 121.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -131.70 Mn |
| Sep 30, 2023 | 131.70 Mn |
| Sep 30, 2022 | -7.30 Mn |
| Jun 30, 2022 | -124.40 Mn |
| Dec 31, 2021 | -77.10 Mn |
| Sep 30, 2021 | 77.10 Mn |
| Mar 31, 2021 | 18.40 Mn |
| Sep 30, 2020 | -800,000.00 |
| Jun 30, 2020 | -57.90 Mn |
| Mar 31, 2020 | -18.40 Mn |
| Mar 31, 2019 | -11.40 Mn |
API Access
Borr Drilling Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=BORR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "BORR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=BORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();