National Energy Services Reunited (NESR) EV to EBITDA (2024 - 2026)
National Energy Services Reunited's (NESR) EV to EBITDA came in at 9.78 for Q2 2026, up 494.5% from 1.64 a year earlier and up 19.3% from the prior quarter.
National Energy Services Reunited (NESR) EV to EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at National Energy Services Reunited was 8.79, up 530.6% year-over-year; for FY2025, it was 6.06, up 125.7% from FY2024.
- In prior years, National Energy Services Reunited's EV to EBITDA was 2.68 in FY2024.
- The Q2 2026 figure stands as the highest quarterly EV to EBITDA in data going back to Q3 2024.
- On a year-over-year basis, EV to EBITDA has increased in each of the last three quarters, with growth averaging 218.7% over the last four quarters.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 8.19 (Q1 2026), 6.06 (Q4 2025) and 3.58 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn |
| 10 | National Energy Services Reunited | 2.57 Bn | 2.11 Bn | 81.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.78 |
| Mar 31, 2026 | 8.19 |
| Dec 31, 2025 | 6.06 |
| Sep 30, 2025 | 3.58 |
| Jun 30, 2025 | 1.64 |
| Mar 31, 2025 | 2.26 |
| Dec 31, 2024 | 2.68 |
| Sep 30, 2024 | 3.89 |
National Energy Services Reunited EV to EBITDA 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=ev-to-ebitda&ticker=NESR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=NESR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();