Noble (NE) Operating Expenses (2021 - 2026)
Noble (NE) posted Operating Expenses of $689.21 million for Q2 2026, down 3.4% from $713.4 million a year earlier but up 23.0% from the prior quarter.
Noble (NE) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Noble was $2.72 billion, down 4.3% year-over-year; for FY2025, it was $2.87 billion, up 17.0% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, though with a five-year compound annual growth rate of -10.7% (FY2020 to FY2025).
- In prior years, Noble's Operating Expenses was $2.45 billion in FY2024 (+21.8%), $2.01 billion in FY2023 (+70.0%), $1.19 billion in FY2022 (+67.0%) and $709.49 million in FY2021 (-85.9%).
- Quarterly Operating Expenses has run from a low of $70.92 million in Q4 2021 to a high of $756.35 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with growth averaging 19.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 546.3%; the weakest was Q1 2026, with a decline of 18.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $560.38 million (Q1 2026), $721.85 million (Q4 2025) and $747.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.81 Bn | 70.26 Bn | 1.57 Bn | 427.00 Mn |
| 2 | Baker Hughes | 47.88 Bn | 9.61 Bn | 1.96 Bn | 910.00 Mn |
| 3 | Halliburton | 26.33 Bn | 18.23 Bn | 840.00 Mn | 5.08 Bn |
| 4 | TechnipFMC | 25.25 Bn | 21.22 Bn | 728.70 Mn | 2.38 Bn |
| 5 | Noble | 6.55 Bn | 4.63 Bn | 228.22 Mn | 668.68 Mn |
| 6 | Nov | 6.31 Bn | 1.20 Bn | 439.00 Mn | 1.08 Bn |
| 7 | Weatherford International | 6.04 Bn | 1.78 Bn | 374.00 Mn | 990.00 Mn |
| 8 | Transocean | 5.85 Bn | 3.89 Bn | 348.00 Mn | 797.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.27 Bn | 176.30 Mn | 508.80 Mn |
| 10 | Kodiak Gas Services | 4.21 Bn | 3.97 Bn | 246.76 Mn | 266.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 668.68 Mn |
| Jun 30, 2026 | 689.21 Mn |
| Mar 31, 2026 | 560.38 Mn |
| Dec 31, 2025 | 721.85 Mn |
| Sep 30, 2025 | 747.62 Mn |
| Jun 30, 2025 | 713.40 Mn |
| Mar 31, 2025 | 687.15 Mn |
| Dec 31, 2024 | 756.35 Mn |
| Sep 30, 2024 | 685.07 Mn |
| Jun 30, 2024 | 482.89 Mn |
| Mar 31, 2024 | 529.54 Mn |
| Dec 31, 2023 | 485.30 Mn |
| Sep 30, 2023 | 496.67 Mn |
| Jun 30, 2023 | 529.39 Mn |
| Mar 31, 2023 | 502.95 Mn |
| Dec 31, 2022 | 458.35 Mn |
| Sep 30, 2022 | 254.31 Mn |
| Jun 30, 2022 | 227.55 Mn |
| Mar 31, 2022 | 244.86 Mn |
| Dec 31, 2021 | 70.92 Mn |
Noble 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=NE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NE", "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=NE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();