Nov (NOV) Other Accumulated Expenses (2011 - 2026)
Nov (NOV) posted Other Accumulated Expenses of $128 million for Q2 2026, down 3.0% from $132 million a year earlier but up 2.4% from the prior quarter.
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Analysis
Nov (NOV) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Nov's Other Accumulated Expenses came in at $134 million, down 21.6% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- In prior years, Nov's Other Accumulated Expenses was $171 million in FY2024 (unchanged), $171 million in FY2023 (-16.6%), $205 million in FY2022 (+15.8%) and $177 million in FY2021 (-17.7%).
- Quarterly Other Accumulated Expenses has run from a low of $125 million in Q1 2026 to a high of $205 million in Q4 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last six quarters, with an average decline of 14.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2022, with growth of 15.8%; the weakest was Q1 2025, with a decline of 23.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $125 million (Q1 2026), $134 million (Q4 2025) and $127 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 78.73 Bn | 75.84 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.45 Bn | 18.73 Bn | 1.58 Bn |
| 3 | Halliburton | 28.88 Bn | 20.83 Bn | 840.00 Mn |
| 4 | TechnipFMC | 27.45 Bn | 23.60 Bn | 684.70 Mn |
| 5 | Noble | 7.62 Bn | 5.55 Bn | 239.27 Mn |
| 6 | Transocean | 7.16 Bn | 4.87 Bn | 358.00 Mn |
| 7 | Nov | 7.06 Bn | 1.85 Bn | 521.00 Mn |
| 8 | Valaris | 6.74 Bn | 4.36 Bn | 123.70 Mn |
| 9 | Weatherford International | 6.30 Bn | 2.07 Bn | 374.00 Mn |
| 10 | Patterson Uti Energy | 4.57 Bn | 3.42 Bn | 280.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.00 Mn |
| Mar 31, 2026 | 125.00 Mn |
| Dec 31, 2025 | 134.00 Mn |
| Sep 30, 2025 | 127.00 Mn |
| Jun 30, 2025 | 132.00 Mn |
| Mar 31, 2025 | 129.00 Mn |
| Dec 31, 2024 | 171.00 Mn |
| Sep 30, 2024 | 160.00 Mn |
| Jun 30, 2024 | 169.00 Mn |
| Mar 31, 2024 | 169.00 Mn |
| Dec 31, 2023 | 171.00 Mn |
| Sep 30, 2023 | 200.00 Mn |
| Jun 30, 2023 | 191.00 Mn |
| Mar 31, 2023 | 199.00 Mn |
| Dec 31, 2022 | 205.00 Mn |
| Sep 30, 2022 | 197.00 Mn |
| Jun 30, 2022 | 166.00 Mn |
| Mar 31, 2022 | 173.00 Mn |
| Dec 31, 2021 | 177.00 Mn |
| Sep 30, 2021 | 184.00 Mn |
API Access
Nov Other 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=other-accumulated-expenses&ticker=NOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=NOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();