Nov (NOV) Operating Expenses (2009 - 2026)
Nov (NOV) recorded Operating Expenses of $1.04 billion in Q2 2026, down 3.4% from $1.08 billion a year earlier and down 4.5% from the prior quarter.
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Analysis
Nov (NOV) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Nov's Operating Expenses came in at $2.73 billion as of Jun 30, 2026, up 3.3% year-over-year; for FY2025, it came in at $1.2 billion, up 6.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.13 billion in FY2024 (-4.1%), $1.18 billion in FY2023 (+10.5%), $1.07 billion in FY2022 (+17.8%) and $908 million in FY2021 (-6.2%).
- Quarterly Operating Expenses has ranged from $217 million in Q4 2021 to $1.09 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 66.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 288.4% in Q2 2025, against a decline of 14.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.09 billion (Q1 2026), $300 million (Q4 2025) and $305 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 998.00 Mn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 812.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 498.70 Mn |
| 10 | Kodiak Gas Services | 5.32 Bn | 5.09 Bn | 246.76 Mn | 266.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.04 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 300.00 Mn |
| Sep 30, 2025 | 305.00 Mn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | 1.01 Bn |
| Dec 31, 2024 | 286.00 Mn |
| Sep 30, 2024 | 275.00 Mn |
| Jun 30, 2024 | 277.00 Mn |
| Mar 31, 2024 | 296.00 Mn |
| Dec 31, 2023 | 336.00 Mn |
| Sep 30, 2023 | 285.00 Mn |
| Jun 30, 2023 | 276.00 Mn |
| Mar 31, 2023 | 285.00 Mn |
| Dec 31, 2022 | 281.00 Mn |
| Sep 30, 2022 | 313.00 Mn |
| Jun 30, 2022 | 241.00 Mn |
| Mar 31, 2022 | 235.00 Mn |
| Dec 31, 2021 | 217.00 Mn |
| Sep 30, 2021 | 228.00 Mn |
API Access
Nov 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=NOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NOV", "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=NOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();