Helmerich & Payne (HP) Shares Outstanding (2009 - 2026)
Helmerich & Payne's Shares Outstanding was 99.93 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.5% from 99.42 million a year earlier and up 0.1% from the prior quarter.
Helmerich & Payne (HP) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Shares Outstanding at Helmerich & Payne came in at 99.27 million, up 0.4% from FY2024.
- Shares Outstanding shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In earlier fiscal years, Shares Outstanding was 98.86 million in FY2024 (-3.5%), 102.45 million in FY2023 (-3.3%), 105.89 million in FY2022 (-1.8%) and 107.82 million in FY2021 (-0.2%).
- The fiscal Q3 2026 figure marks the highest quarterly Shares Outstanding since fiscal Q4 2023.
- Compared with a year earlier, Shares Outstanding has increased for six straight quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q1 2026 (growth of 0.7%); the worst was fiscal Q1 2024 (a decline of 5.8%).
- Per Business Quant data, HP's Shares Outstanding in the three fiscal quarters before Q3 2026 was 99.88 million (Q2 2026), 99.54 million (Q1 2026) and 99.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 1.49 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 992.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 396.20 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 836.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 359.00 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 | 1.12 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 71.90 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 69.30 Mn |
| 10 | Helmerich & Payne | 3.71 Bn | 2.89 Bn | 349.94 Mn | 99.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.93 Mn |
| Mar 31, 2026 | 99.88 Mn |
| Dec 31, 2025 | 99.54 Mn |
| Sep 30, 2025 | 99.27 Mn |
| Jun 30, 2025 | 99.42 Mn |
| Mar 31, 2025 | 99.36 Mn |
| Dec 31, 2024 | 98.87 Mn |
| Sep 30, 2024 | 98.86 Mn |
| Jun 30, 2024 | 98.75 Mn |
| Mar 31, 2024 | 98.77 Mn |
| Dec 31, 2023 | 99.14 Mn |
| Sep 30, 2023 | 102.45 Mn |
| Jun 30, 2023 | 101.16 Mn |
| Mar 31, 2023 | 103.97 Mn |
| Dec 31, 2022 | 105.25 Mn |
| Sep 30, 2022 | 105.89 Mn |
| Jun 30, 2022 | 105.29 Mn |
| Mar 31, 2022 | 105.39 Mn |
| Dec 31, 2021 | 107.57 Mn |
| Sep 30, 2021 | 107.82 Mn |
Helmerich & Payne Shares Outstanding 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&ticker=HP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "HP", "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&ticker=HP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();