National Energy Services Reunited (NESR) Total Liabilities (2017 - 2026)
National Energy Services Reunited (NESR) posted Total Liabilities of $1.06 billion for Q2 2026, up 18.5% from $890.19 million a year earlier and up 13.6% from the prior quarter.
National Energy Services Reunited (NESR) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, National Energy Services Reunited's Total Liabilities came in at $883.6 million, up 2.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In prior years, National Energy Services Reunited's Total Liabilities was $865.45 million in FY2024 (-11.3%), $976.25 million in FY2023 (-4.8%), $1.03 billion in FY2022 (+1.6%) and $1.01 billion in FY2021 (+22.2%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q1 2017.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 0.9% over the last six quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 22.2%; the weakest was Q4 2024, with a decline of 11.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $928.72 million (Q1 2026), $883.6 million (Q4 2025) and $852.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 28.28 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 32.54 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 7.09 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 14.78 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 4.94 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 2.76 Bn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 6.80 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 3.31 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 2.23 Bn |
| 10 | National Energy Services Reunited | 2.57 Bn | 2.11 Bn | 81.29 Mn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Bn |
| Mar 31, 2026 | 928.72 Mn |
| Dec 31, 2025 | 883.60 Mn |
| Sep 30, 2025 | 852.47 Mn |
| Jun 30, 2025 | 890.19 Mn |
| Mar 31, 2025 | 848.84 Mn |
| Dec 31, 2024 | 865.45 Mn |
| Sep 30, 2024 | 929.30 Mn |
| Jun 30, 2024 | 937.97 Mn |
| Dec 31, 2023 | 976.25 Mn |
| Dec 31, 2022 | 1.03 Bn |
| Dec 31, 2021 | 1.01 Bn |
| Sep 30, 2021 | 777.55 Mn |
| Jun 30, 2021 | 722.75 Mn |
| Mar 31, 2021 | 682.55 Mn |
| Dec 31, 2020 | 826.60 Mn |
| Sep 30, 2020 | 737.47 Mn |
| Jun 30, 2020 | 752.66 Mn |
| Mar 31, 2020 | 637.50 Mn |
| Dec 31, 2019 | 687.21 Mn |
National Energy Services Reunited Total Liabilities 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=total-liabilities&ticker=NESR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NESR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();