National Energy Services Reunited (NESR) Total Non-Current Liabilities (2017 - 2026)
National Energy Services Reunited (NESR) reported Total Non-Current Liabilities of $1.02 billion for Q2 2026, up 21.9% from $840.18 million a year earlier and up 14.3% from the prior quarter.
National Energy Services Reunited (NESR) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, National Energy Services Reunited posted Total Non-Current Liabilities of $852.76 million, up 4.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $816.18 million in FY2024 (-11.2%), $919.09 million in FY2023 (-6.7%), $985.36 million in FY2022 (+1.3%) and $973.06 million in FY2021 (+22.5%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2017.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 2.8% over the last six quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2021 (growth of 22.5%); the low point was Q4 2024 (a decline of 11.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $896.4 million (Q1 2026), $852.76 million (Q4 2025) and $808.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 26.35 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 31.14 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 6.73 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 14.12 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 4.69 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 2.51 Bn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 5.59 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 3.10 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 1.89 Bn |
| 10 | National Energy Services Reunited | 2.57 Bn | 2.11 Bn | 81.29 Mn | 1.02 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Bn |
| Mar 31, 2026 | 896.40 Mn |
| Dec 31, 2025 | 852.76 Mn |
| Sep 30, 2025 | 808.69 Mn |
| Jun 30, 2025 | 840.18 Mn |
| Mar 31, 2025 | 800.26 Mn |
| Dec 31, 2024 | 816.18 Mn |
| Sep 30, 2024 | 862.41 Mn |
| Jun 30, 2024 | 878.65 Mn |
| Dec 31, 2023 | 919.09 Mn |
| Dec 31, 2022 | 985.36 Mn |
| Dec 31, 2021 | 973.06 Mn |
| Sep 30, 2021 | 741.86 Mn |
| Jun 30, 2021 | 685.24 Mn |
| Mar 31, 2021 | 667.81 Mn |
| Dec 31, 2020 | 794.53 Mn |
| Sep 30, 2020 | 719.07 Mn |
| Jun 30, 2020 | 708.68 Mn |
| Mar 31, 2020 | 610.22 Mn |
| Dec 31, 2019 | 652.98 Mn |
National Energy Services Reunited Total Non-Current 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-non-current-liabilities&ticker=NESR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=NESR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();