National Energy Services Reunited (NESR) Cash & Equivalents (2017 - 2026)
National Energy Services Reunited's Cash & Equivalents was $174.99 million in Q2 2026, up 32.8% from $131.8 million a year earlier and up 88.3% from the prior quarter.
National Energy Services Reunited (NESR) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at National Energy Services Reunited came in at $124.8 million, up 15.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $107.96 million in FY2024 (+59.2%), $67.82 million in FY2023 (-14.0%), $78.85 million in FY2022 (-61.7%) and $205.77 million in FY2021 (+174.3%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q4 2021.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with growth averaging 26.7% over the last six quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2021 (growth of 174.3%); the worst was Q4 2022 (a decline of 61.7%).
- Per Business Quant data, NESR's Cash & Equivalents in the three quarters before Q2 2026 was $92.96 million (Q1 2026), $124.8 million (Q4 2025) and $69.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 2.62 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 4.07 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 1.84 Bn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 1.05 Bn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 337.19 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 1.06 Bn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 1.16 Bn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 499.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 525.10 Mn |
| 10 | National Energy Services Reunited | 2.08 Bn | 1.58 Bn | 68.95 Mn | 106.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 106.84 Mn |
| Jun 30, 2026 | 174.99 Mn |
| Mar 31, 2026 | 92.96 Mn |
| Dec 31, 2025 | 124.80 Mn |
| Sep 30, 2025 | 69.68 Mn |
| Jun 30, 2025 | 131.80 Mn |
| Mar 31, 2025 | 78.70 Mn |
| Dec 31, 2024 | 107.96 Mn |
| Sep 30, 2024 | 118.17 Mn |
| Jun 30, 2024 | 75.00 Mn |
| Dec 31, 2023 | 67.82 Mn |
| Dec 31, 2022 | 78.85 Mn |
| Dec 31, 2021 | 205.77 Mn |
| Sep 30, 2021 | 101.02 Mn |
| Jun 30, 2021 | 66.07 Mn |
| Mar 31, 2021 | 89.27 Mn |
| Dec 31, 2020 | 75.01 Mn |
| Sep 30, 2020 | 50.49 Mn |
| Jun 30, 2020 | 79.32 Mn |
| Mar 31, 2020 | 49.02 Mn |
National Energy Services Reunited Cash & Equivalents 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=cash-and-equivalents&ticker=NESR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NESR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();