ProPetro Holding (PUMP) Shares Outstanding (Diluted) (2016 - 2026)
ProPetro Holding's Shares Outstanding (Diluted) was 122.71 million in Q2 2026, up 18.1% from 103.9 million a year earlier and up 5.0% from the prior quarter.
ProPetro Holding (PUMP) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at ProPetro Holding came in at 105.4 million, down 0.1% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 105.47 million in FY2024 (-7.0%), 113.42 million in FY2023 (+6.1%), 106.94 million in FY2022 (+4.2%) and 102.66 million in FY2021 (+1.8%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2016.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in two of the last eight quarters, with growth averaging 1.1%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q2 2026 (growth of 18.1%); the worst was Q3 2024 (a decline of 7.6%).
- Per Business Quant data, PUMP's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 116.91 million (Q1 2026), 105.4 million (Q4 2025) and 103.97 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 | ProPetro Holding | 1.09 Bn | -22.84 Mn | 71.82 Mn | 122.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.71 Mn |
| Mar 31, 2026 | 116.91 Mn |
| Dec 31, 2025 | 105.40 Mn |
| Sep 30, 2025 | 103.97 Mn |
| Jun 30, 2025 | 103.90 Mn |
| Mar 31, 2025 | 105.12 Mn |
| Dec 31, 2024 | 105.47 Mn |
| Sep 30, 2024 | 104.12 Mn |
| Jun 30, 2024 | 106.30 Mn |
| Mar 31, 2024 | 108.99 Mn |
| Dec 31, 2023 | 113.42 Mn |
| Sep 30, 2023 | 112.70 Mn |
| Jun 30, 2023 | 114.80 Mn |
| Mar 31, 2023 | 115.33 Mn |
| Dec 31, 2022 | 106.94 Mn |
| Sep 30, 2022 | 105.07 Mn |
| Jun 30, 2022 | 104.24 Mn |
| Mar 31, 2022 | 105.38 Mn |
| Dec 31, 2021 | 102.66 Mn |
| Sep 30, 2021 | 103.26 Mn |
ProPetro Holding 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=PUMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PUMP", "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=PUMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();