Nov (NOV) Accumulated Expenses (2009 - 2026)
Nov (NOV) posted Accumulated Expenses of $825 million for Q3 2026, up 8.6% from $760 million a year earlier and up 5.6% 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%).
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses since Q4 2024.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with an average decline of 1.1% over the last eight quarters.
- 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 $781 million (Q2 2026), $728 million (Q1 2026) and $822 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 75.75 Bn | 72.19 Bn | 1.57 Bn |
| 2 | Baker Hughes | 48.44 Bn | 10.16 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 |
| 7 | Weatherford International | 6.10 Bn | 1.84 Bn | 374.00 Mn |
| 8 | Transocean | 6.09 Bn | 4.13 Bn | 348.00 Mn |
| 9 | Valaris | 5.60 Bn | 3.36 Bn | 176.30 Mn |
| 10 | Kodiak Gas Services | 4.46 Bn | 4.14 Bn | 259.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 825.00 Mn |
| 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 |
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();