National Energy Services Reunited (NESR) Change in Accrued Expenses (2017 - 2026)
National Energy Services Reunited (NESR) posted Change in Accrued Expenses of $120.09 million for Q2 2026, up 143.0% from $49.42 million a year earlier and up 95.5% from the prior quarter.
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Analysis
National Energy Services Reunited (NESR) Change in Accrued Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accrued Expenses at National Energy Services Reunited was $233.16 million; for FY2025, it was $116.16 million.
- Annual Change in Accrued Expenses shows a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In prior years, National Energy Services Reunited's Change in Accrued Expenses was -$38.52 million in FY2024, -$3.37 million in FY2023, $33.65 million in FY2022 (+7.8%) and $31.22 million in FY2021 (-60.7%).
- The Q2 2026 figure stands as the highest quarterly Change in Accrued Expenses in data going back to Q3 2017.
- On a year-over-year basis, Change in Accrued Expenses increased in three of the last four quarters, with growth averaging 143.7%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $61.42 million (Q1 2026), $52.24 million (Q4 2025) and -$586,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 598.00 Mn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | - |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | - |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | - |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 23.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 37.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | - |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | - |
| 10 | National Energy Services Reunited | 2.08 Bn | 1.58 Bn | 68.95 Mn | 43.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 43.38 Mn |
| Jun 30, 2026 | 120.09 Mn |
| Mar 31, 2026 | 61.42 Mn |
| Dec 31, 2025 | 52.24 Mn |
| Sep 30, 2025 | -586,000.00 |
| Jun 30, 2025 | 49.42 Mn |
| Mar 31, 2025 | 15.09 Mn |
| Dec 31, 2024 | -54.31 Mn |
| Sep 30, 2024 | -27.42 Mn |
| Jun 30, 2024 | 18.78 Mn |
| Mar 31, 2024 | 24.44 Mn |
| Dec 31, 2023 | -13.35 Mn |
| Sep 30, 2023 | -13.31 Mn |
| Dec 31, 2021 | 51.31 Mn |
| Sep 30, 2021 | 11.95 Mn |
| Jun 30, 2021 | -2.61 Mn |
| Mar 31, 2021 | -29.43 Mn |
| Dec 31, 2020 | 38.37 Mn |
| Sep 30, 2020 | 17.79 Mn |
| Jun 30, 2020 | 11.75 Mn |
API Access
National Energy Services Reunited Change in Accrued 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=change-in-accured-expenses&ticker=NESR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NESR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();