National Energy Services Reunited (NESR) Other Accumulated Expenses (2017 - 2026)
National Energy Services Reunited (NESR) posted Other Accumulated Expenses of $29.03 million for Q2 2026, down 22.7% from $37.56 million a year earlier but up 66.8% from the prior quarter.
National Energy Services Reunited (NESR) Other Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, National Energy Services Reunited's Other Accumulated Expenses came in at $24.72 million, down 15.0% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In prior years, National Energy Services Reunited's Other Accumulated Expenses was $29.09 million in FY2024 (-6.4%), $31.07 million in FY2023 (+18.8%), $26.17 million in FY2022 (+46.9%) and $17.82 million in FY2021 (-41.4%).
- Quarterly Other Accumulated Expenses has run from a low of $17.41 million in Q1 2026 to a high of $48.26 million in Q3 2021 over five years.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last four quarters, with an average decline of 11.1% over the last six quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2021, with growth of 561.0%; the weakest was Q1 2026, with a decline of 41.6%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $17.41 million (Q1 2026), $24.72 million (Q4 2025) and $30.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn |
| 10 | National Energy Services Reunited | 2.49 Bn | 2.03 Bn | 81.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.03 Mn |
| Mar 31, 2026 | 17.41 Mn |
| Dec 31, 2025 | 24.72 Mn |
| Sep 30, 2025 | 30.35 Mn |
| Jun 30, 2025 | 37.56 Mn |
| Mar 31, 2025 | 29.80 Mn |
| Dec 31, 2024 | 29.09 Mn |
| Sep 30, 2024 | 33.77 Mn |
| Jun 30, 2024 | 29.00 Mn |
| Dec 31, 2023 | 31.07 Mn |
| Dec 31, 2022 | 26.17 Mn |
| Dec 31, 2021 | 17.82 Mn |
| Sep 30, 2021 | 48.26 Mn |
| Jun 30, 2021 | 49.54 Mn |
| Mar 31, 2021 | 25.02 Mn |
| Dec 31, 2020 | 30.40 Mn |
| Sep 30, 2020 | 7.30 Mn |
| Jun 30, 2020 | 53.27 Mn |
| Mar 31, 2020 | 26.89 Mn |
| Dec 31, 2019 | 25.60 Mn |
National Energy Services Reunited 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=NESR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "NESR", "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=NESR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();