Noble (NE) Shares Outstanding (Diluted) (2021 - 2026)
Noble (NE) reported Shares Outstanding (Diluted) of 159.57 million for Q2 2026, down 1.2% from 161.53 million a year earlier and down 1.2% from the prior quarter.
Noble (NE) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Noble posted Shares Outstanding (Diluted) of 160.2 million, up 5.6% from FY2024.
- Shares Outstanding (Diluted) has increased for four consecutive years, though with a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 151.64 million in FY2024 (+4.4%), 145.2 million in FY2023 (+48.8%), 97.61 million in FY2022 (+44.3%) and 67.63 million in FY2021 (-73.0%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 66.62 million in Q3 2021 and a high of 161.94 million in Q1 2025.
- Year over year, Shares Outstanding (Diluted) gained in six of the last eight quarters, with growth averaging 4.9%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2023 (growth of 115.8%); the low point was Q2 2026 (a decline of 1.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 161.58 million (Q1 2026), 160.2 million (Q4 2025) and 158.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.02 Bn | 69.95 Bn | 1.40 Bn | 1.51 Bn |
| 2 | Baker Hughes | 53.20 Bn | 16.30 Bn | 1.58 Bn | 997.00 Mn |
| 3 | Halliburton | 27.79 Bn | 19.51 Bn | 804.00 Mn | 838.00 Mn |
| 4 | TechnipFMC | 26.38 Bn | 22.52 Bn | 684.70 Mn | 404.50 Mn |
| 5 | Noble | 7.04 Bn | 4.97 Bn | 239.27 Mn | 159.57 Mn |
| 6 | Transocean | 6.81 Bn | 4.52 Bn | 358.00 Mn | 1.20 Bn |
| 7 | Nov | 6.75 Bn | 1.48 Bn | 521.00 Mn | 362.00 Mn |
| 8 | Valaris | 6.40 Bn | 4.01 Bn | 123.70 Mn | 70.40 Mn |
| 9 | Weatherford International | 5.88 Bn | 1.62 Bn | 374.00 Mn | 72.20 Mn |
| 10 | Patterson Uti Energy | 4.31 Bn | 3.16 Bn | 280.64 Mn | 380.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.57 Mn |
| Mar 31, 2026 | 161.58 Mn |
| Dec 31, 2025 | 160.20 Mn |
| Sep 30, 2025 | 158.83 Mn |
| Jun 30, 2025 | 161.53 Mn |
| Mar 31, 2025 | 161.94 Mn |
| Dec 31, 2024 | 151.64 Mn |
| Sep 30, 2024 | 152.94 Mn |
| Jun 30, 2024 | 146.06 Mn |
| Mar 31, 2024 | 145.23 Mn |
| Dec 31, 2023 | 145.20 Mn |
| Sep 30, 2023 | 145.72 Mn |
| Jun 30, 2023 | 146.99 Mn |
| Mar 31, 2023 | 145.99 Mn |
| Dec 31, 2022 | 97.61 Mn |
| Sep 30, 2022 | 81.93 Mn |
| Jun 30, 2022 | 82.70 Mn |
| Mar 31, 2022 | 67.64 Mn |
| Dec 31, 2021 | 67.63 Mn |
| Sep 30, 2021 | 66.62 Mn |
Noble 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=NE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "NE", "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=NE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();