National Energy Services Reunited (NESR) Shares Outstanding (Diluted) (2016 - 2026)
National Energy Services Reunited (NESR) reported Shares Outstanding (Diluted) of 103.22 million for Q2 2026, up 5.7% from 97.64 million a year earlier and up 0.3% from the prior quarter.
National Energy Services Reunited (NESR) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
For FY2025, National Energy Services Reunited posted Shares Outstanding (Diluted) of 99.11 million, up 3.5% from FY2024.
- Shares Outstanding (Diluted) has increased for seven consecutive years, with a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 95.74 million in FY2024 (+1.0%), 94.75 million in FY2023 (+1.9%), 92.96 million in FY2022 (+2.1%) and 91.04 million in FY2021 (+2.3%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) since Q1 2018.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last nine quarters, with growth averaging 3.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 1.0% in Q4 2024 to 6.4% in Q1 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at 102.93 million (Q1 2026), 99.11 million (Q4 2025) and 97.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 1.51 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 997.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 404.50 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 838.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 362.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 159.57 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 1.20 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 72.20 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 70.40 Mn |
| 10 | National Energy Services Reunited | 2.57 Bn | 2.11 Bn | 81.29 Mn | 103.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.22 Mn |
| Mar 31, 2026 | 102.93 Mn |
| Dec 31, 2025 | 99.11 Mn |
| Sep 30, 2025 | 97.64 Mn |
| Jun 30, 2025 | 97.64 Mn |
| Mar 31, 2025 | 96.71 Mn |
| Dec 31, 2024 | 95.74 Mn |
| Sep 30, 2024 | 94.75 Mn |
| Jun 30, 2024 | 94.75 Mn |
| Mar 31, 2024 | 94.75 Mn |
| Dec 31, 2023 | 94.75 Mn |
| Sep 30, 2023 | 92.96 Mn |
| Jun 30, 2023 | 92.96 Mn |
| Dec 31, 2022 | 92.96 Mn |
| Dec 31, 2021 | 91.04 Mn |
| Sep 30, 2021 | 88.99 Mn |
| Jun 30, 2021 | 88.99 Mn |
| Mar 31, 2021 | 88.99 Mn |
| Dec 31, 2020 | 88.99 Mn |
| Sep 30, 2020 | 87.00 Mn |
National Energy Services Reunited Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=NESR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=NESR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();