Halliburton (HAL) Change in Accrued Expenses (2019 - 2023)
Halliburton's Change in Accrued Expenses came in at -$189 million for Q1 2023, compared with -$87 million a year earlier.
Halliburton (HAL) Change in Accrued Expenses (2019 - 2023) Analysis & Trends
Over the trailing twelve months to Mar 31, 2023, Halliburton reported Change in Accrued Expenses of -$187 million; for FY2020, it came in at -$160 million.
- Going back by year, Change in Accrued Expenses was -$38 million in FY2019 and -$69 million in FY2018.
- The Q1 2023 figure represents the lowest quarterly Change in Accrued Expenses since Q2 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.75 Bn | 72.19 Bn | 1.57 Bn | 598.00 Mn |
| 2 | Baker Hughes | 48.33 Bn | 10.06 Bn | 1.96 Bn | - |
| 3 | Halliburton | 27.11 Bn | 19.06 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.53 Bn | 21.50 Bn | 728.70 Mn | - |
| 5 | Noble | 6.85 Bn | 4.92 Bn | 228.22 Mn | - |
| 6 | Nov | 6.35 Bn | 1.30 Bn | 439.00 Mn | 23.00 Mn |
| 7 | Weatherford International | 6.08 Bn | 1.82 Bn | 374.00 Mn | 37.00 Mn |
| 8 | Transocean | 6.08 Bn | 4.12 Bn | 348.00 Mn | - |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn | - |
| 10 | Kodiak Gas Services | 4.48 Bn | 4.15 Bn | 259.04 Mn | 15.42 Mn |
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 |
Halliburton Change in Accrued 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_KEY
import 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();