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 1.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $816.18 million in FY2024 (-11.0%), $917.09 million in FY2023 (-6.7%), $983.36 million in FY2022 (+1.3%) and $971.06 million in FY2021 (+22.8%).
- 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 22.8%); the low point was Q4 2024 (a decline of 11.0%).
- 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 | 73.67 Bn | 71.28 Bn | 1.57 Bn | 27.03 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 36.63 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 13.84 Bn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 6.25 Bn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 2.61 Bn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 4.62 Bn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 2.99 Bn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 5.31 Bn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 1.87 Bn |
| 10 | National Energy Services Reunited | 2.08 Bn | 1.58 Bn | 68.95 Mn | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.07 Bn |
| 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 | 917.09 Mn |
| Dec 31, 2022 | 983.36 Mn |
| Dec 31, 2021 | 971.06 Mn |
| Sep 30, 2021 | 739.85 Mn |
| Jun 30, 2021 | 683.24 Mn |
| Mar 31, 2021 | 665.81 Mn |
| Dec 31, 2020 | 790.53 Mn |
| Sep 30, 2020 | 719.07 Mn |
| Jun 30, 2020 | 701.98 Mn |
| Mar 31, 2020 | 608.82 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();