Halliburton (HAL) Change in Accured Expenses (2019 - 2023)
Halliburton's Change in Accured Expenses came in at -$189 million for Q1 2023, compared with -$87 million a year earlier.
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Analysis
Halliburton (HAL) Change in Accured Expenses (2019 - 2023) Analysis & Trends
Over the trailing twelve months to Mar 31, 2023, Halliburton reported Change in Accured Expenses of -$187 million; for FY2020, it came in at -$160 million.
- Going back by year, Change in Accured Expenses was -$38 million in FY2019 and -$69 million in FY2018.
- The Q1 2023 figure represents the lowest quarterly Change in Accured Expenses since Q2 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 78.76 Bn | 74.69 Bn | 1.40 Bn | -23.00 Mn |
| 2 | Baker Hughes | 55.19 Bn | 18.29 Bn | 1.58 Bn | - |
| 3 | Halliburton | 29.19 Bn | 20.90 Bn | 804.00 Mn | - |
| 4 | TechnipFMC | 27.67 Bn | 23.81 Bn | 684.70 Mn | - |
| 5 | Noble | 7.61 Bn | 5.54 Bn | 239.27 Mn | - |
| 6 | Transocean | 7.26 Bn | 4.97 Bn | 358.00 Mn | - |
| 7 | Nov | 7.10 Bn | 1.84 Bn | 521.00 Mn | 46.00 Mn |
| 8 | Valaris | 6.82 Bn | 4.44 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 6.24 Bn | 1.98 Bn | 374.00 Mn | 37.00 Mn |
| 10 | Patterson Uti Energy | 4.56 Bn | 3.41 Bn | 280.64 Mn | -8.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -189.00 Mn |
| Mar 31, 2022 | -87.00 Mn |
| Sep 30, 2021 | 40.00 Mn |
| Jun 30, 2021 | 49.00 Mn |
| Mar 31, 2021 | -67.00 Mn |
| Dec 31, 2020 | 334.00 Mn |
| Sep 30, 2020 | -76.00 Mn |
| Jun 30, 2020 | -305.00 Mn |
| Mar 31, 2020 | -113.00 Mn |
| Dec 31, 2019 | 35.00 Mn |
API Access
Halliburton Change in Accured 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=change-in-accured-expenses&ticker=HAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "HAL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=HAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();