ProPetro Holding (PUMP) Shares Outstanding (2015 - 2026)
ProPetro Holding (PUMP) reported Weighted Average Shares Outstanding of 122.71 million for 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 (2015 - 2026) Analysis & Trends
For FY2025, ProPetro Holding posted Weighted Average Shares Outstanding of 103.84 million, down 1.5% from FY2024.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 105.47 million in FY2024 (-6.7%), 113 million in FY2023 (+6.7%), 105.87 million in FY2022 (+3.1%) and 102.66 million in FY2021 (+1.8%).
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last three quarters, with growth averaging 4.2% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q2 2026 (growth of 18.1%); the low point was Q2 2024 (a decline of 7.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 122.71 million (Q2 2026), 116.91 million (Q1 2026) and 103.84 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 75.03 Bn | 71.48 Bn | 1.57 Bn | 1.48 Bn |
| 2 | Baker Hughes | 48.58 Bn | 10.30 Bn | 1.96 Bn | 993.00 Mn |
| 3 | Halliburton | 26.54 Bn | 18.44 Bn | 840.00 Mn | 831.00 Mn |
| 4 | TechnipFMC | 25.23 Bn | 21.20 Bn | 728.70 Mn | 391.60 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 | 357.00 Mn |
| 7 | Weatherford International | 6.23 Bn | 1.97 Bn | 374.00 Mn | 71.90 Mn |
| 8 | Transocean | 5.84 Bn | 3.88 Bn | 348.00 Mn | 1.12 Bn |
| 9 | Valaris | 5.50 Bn | 3.26 Bn | 176.30 Mn | 69.40 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 | 103.84 Mn |
| Sep 30, 2025 | 103.97 Mn |
| Jun 30, 2025 | 103.90 Mn |
| Mar 31, 2025 | 103.32 Mn |
| Dec 31, 2024 | 105.47 Mn |
| Sep 30, 2024 | 104.12 Mn |
| Jun 30, 2024 | 106.30 Mn |
| Mar 31, 2024 | 108.54 Mn |
| Dec 31, 2023 | 113.00 Mn |
| Sep 30, 2023 | 112.29 Mn |
| Jun 30, 2023 | 114.74 Mn |
| Mar 31, 2023 | 114.88 Mn |
| Dec 31, 2022 | 105.87 Mn |
| Sep 30, 2022 | 104.37 Mn |
| Jun 30, 2022 | 104.24 Mn |
| Mar 31, 2022 | 103.68 Mn |
| Dec 31, 2021 | 102.66 Mn |
API Access
ProPetro Holding 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=PUMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=PUMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();