ProPetro Holding (PUMP) Shares Outstanding (Diluted) (2015 - 2026)
ProPetro Holding's Weighted Average Shares Outstanding (Diluted) was 122.71 million in Q3 2026, up 18.0% from 103.97 million a year earlier and unchanged from the prior quarter.
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Analysis
ProPetro Holding (PUMP) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at ProPetro Holding came in at 105.4 million, down 0.1% from FY2024.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In earlier years, Weighted Average 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%).
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for three straight quarters, with growth averaging 4.3% over the last eight quarters.
- The best year-over-year quarter for Weighted Average 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 Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 122.71 million (Q2 2026), 116.91 million (Q1 2026) and 105.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.03 Bn | 71.48 Bn | 1.57 Bn | 1.50 Bn |
| 2 | Baker Hughes | 48.58 Bn | 10.30 Bn | 1.96 Bn | 998.00 Mn |
| 3 | Halliburton | 26.54 Bn | 18.44 Bn | 840.00 Mn | 832.00 Mn |
| 4 | TechnipFMC | 25.23 Bn | 21.20 Bn | 728.70 Mn | 398.20 Mn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 159.65 Mn |
| 6 | Nov | 6.35 Bn | 1.23 Bn | 439.00 Mn | 360.00 Mn |
| 7 | Weatherford International | 6.23 Bn | 1.97 Bn | 374.00 Mn | 72.20 Mn |
| 8 | Transocean | 5.84 Bn | 3.88 Bn | 348.00 Mn | 1.13 Bn |
| 9 | Valaris | 5.50 Bn | 3.26 Bn | 176.30 Mn | 70.30 Mn |
| 10 | ProPetro Holding | 825.87 Mn | -934.95 Mn | 85.64 Mn | 122.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 122.71 Mn |
| 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 |
API Access
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_KEYimport 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();