National Energy Services Reunited (NESR) EBITDA (2017 - 2026)
National Energy Services Reunited (NESR) reported EBITDA of $100.95 million for Q2 2026, up 60.3% from $62.97 million a year earlier and up 44.6% from the prior quarter.
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Analysis
National Energy Services Reunited (NESR) EBITDA (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, National Energy Services Reunited's EBITDA came in at $290.87 million, up 6.6% year-over-year; for FY2025, it was $240.05 million, down 14.4% from FY2024.
- EBITDA has a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- By year, EBITDA came in at $280.49 million in FY2024 (+25.8%), $222.93 million in FY2023 (+94.0%), $114.93 million in FY2022 (+45.9%) and $78.79 million in FY2021 (-49.5%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q2 2017.
- Year over year, EBITDA gained in four of the last eight quarters, with growth averaging 8.8%.
- The high point for year-over-year EBITDA in five years was Q2 2026 (growth of 60.3%); the low point was Q3 2025 (a decline of 22.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $69.81 million (Q1 2026), $65.93 million (Q4 2025) and $54.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 1.78 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 1.19 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | -1.50 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 1.07 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 286.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 170.06 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 300.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 178.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 95.70 Mn |
| 10 | National Energy Services Reunited | 2.57 Bn | 2.11 Bn | 81.29 Mn | 100.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.95 Mn |
| Mar 31, 2026 | 69.81 Mn |
| Dec 31, 2025 | 65.93 Mn |
| Sep 30, 2025 | 54.17 Mn |
| Jun 30, 2025 | 62.97 Mn |
| Mar 31, 2025 | 56.98 Mn |
| Dec 31, 2024 | 83.19 Mn |
| Sep 30, 2024 | 69.81 Mn |
| Jun 30, 2024 | 69.31 Mn |
| Mar 31, 2024 | 58.18 Mn |
| Dec 31, 2023 | 63.60 Mn |
| Sep 30, 2023 | 62.87 Mn |
| Jun 30, 2023 | 45.44 Mn |
| Dec 31, 2021 | -55.73 Mn |
| Sep 30, 2021 | 42.12 Mn |
| Jun 30, 2021 | 46.23 Mn |
| Mar 31, 2021 | 46.17 Mn |
| Dec 31, 2020 | 41.11 Mn |
| Sep 30, 2020 | 51.19 Mn |
| Jun 30, 2020 | 48.22 Mn |
API Access
National Energy Services Reunited 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=ebitda&ticker=NESR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=NESR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();