Nov (NOV) Accumulated Expenses (2009 - 2026)
Nov (NOV) posted Accumulated Expenses of $781 million for Q2 2026, up 5.3% from $742 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Nov (NOV) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Nov's Accumulated Expenses came in at $822 million, down 4.5% from FY2024.
- Annual Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, Nov's Accumulated Expenses was $861 million in FY2024 (-1.0%), $870 million in FY2023 (-9.3%), $959 million in FY2022 (+23.3%) and $778 million in FY2021 (-9.8%).
- Quarterly Accumulated Expenses has run from a low of $685 million in Q1 2025 to a high of $959 million in Q4 2022 over five years.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 2.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2022, with growth of 23.3%; the weakest was Q1 2025, with a decline of 10.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $728 million (Q1 2026), $822 million (Q4 2025) and $760 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn |
| 10 | Kodiak Gas Services | 5.35 Bn | 5.11 Bn | 246.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 781.00 Mn |
| Mar 31, 2026 | 728.00 Mn |
| Dec 31, 2025 | 822.00 Mn |
| Sep 30, 2025 | 760.00 Mn |
| Jun 30, 2025 | 742.00 Mn |
| Mar 31, 2025 | 685.00 Mn |
| Dec 31, 2024 | 861.00 Mn |
| Sep 30, 2024 | 819.00 Mn |
| Jun 30, 2024 | 782.00 Mn |
| Mar 31, 2024 | 767.00 Mn |
| Dec 31, 2023 | 870.00 Mn |
| Sep 30, 2023 | 818.00 Mn |
| Jun 30, 2023 | 769.00 Mn |
| Mar 31, 2023 | 775.00 Mn |
| Dec 31, 2022 | 959.00 Mn |
| Sep 30, 2022 | 904.00 Mn |
| Jun 30, 2022 | 831.00 Mn |
| Mar 31, 2022 | 807.00 Mn |
| Dec 31, 2021 | 778.00 Mn |
| Sep 30, 2021 | 785.00 Mn |
API Access
Nov Accumulated 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=accumulated-expenses&ticker=NOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();