Halliburton (HAL) Operating Expenses (2009 - 2026)
Halliburton (HAL) recorded Operating Expenses of $4.94 billion in Q2 2026, up 3.2% from $4.78 billion a year earlier and up 4.5% from the prior quarter.
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Analysis
Halliburton (HAL) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Halliburton's Operating Expenses came in at $19.81 billion as of Jun 30, 2026, up 2.8% year-over-year; for FY2025, it was $19.92 billion, up 4.2% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $19.12 billion in FY2024 (+1.0%), $18.94 billion in FY2023 (+7.6%), $17.59 billion in FY2022 (+30.3%) and $13.5 billion in FY2021 (-20.1%).
- Quarterly Operating Expenses has ranged from $3.41 billion in Q3 2021 to $5.24 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 2.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 43.6% in Q2 2022, against a decline of 5.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.72 billion (Q1 2026), $4.91 billion (Q4 2025) and $5.24 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.03 Bn | 71.14 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 55.51 Bn | 18.79 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 27.04 Bn | 23.19 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 26.27 Bn | 18.03 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.79 Bn | 1.58 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.70 Bn | 4.63 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Transocean | 5.82 Bn | 3.53 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Weatherford International | 5.77 Bn | 1.71 Bn | 333.00 Mn | 998.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.05 Bn | 123.70 Mn | 498.70 Mn |
| 10 | Kodiak Gas Services | 5.22 Bn | 4.99 Bn | 246.76 Mn | 266.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.94 Bn |
| Mar 31, 2026 | 4.72 Bn |
| Dec 31, 2025 | 4.91 Bn |
| Sep 30, 2025 | 5.24 Bn |
| Jun 30, 2025 | 4.78 Bn |
| Mar 31, 2025 | 4.99 Bn |
| Dec 31, 2024 | 4.68 Bn |
| Sep 30, 2024 | 4.83 Bn |
| Jun 30, 2024 | 4.80 Bn |
| Mar 31, 2024 | 4.82 Bn |
| Dec 31, 2023 | 4.68 Bn |
| Sep 30, 2023 | 4.77 Bn |
| Jun 30, 2023 | 4.79 Bn |
| Mar 31, 2023 | 4.70 Bn |
| Dec 31, 2022 | 4.61 Bn |
| Sep 30, 2022 | 4.51 Bn |
| Jun 30, 2022 | 4.70 Bn |
| Mar 31, 2022 | 3.77 Bn |
| Dec 31, 2021 | 3.73 Bn |
| Sep 30, 2021 | 3.41 Bn |
API Access
Halliburton Operating 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=operating-expenses&ticker=HAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=HAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();