ProFrac Holding (ACDC) Shares Outstanding (Diluted) (2022 - 2026)
ProFrac Holding (ACDC) posted Weighted Average Shares Outstanding (Diluted) of 182 million for Q2 2026, up 13.6% from 160.2 million a year earlier and unchanged from the prior quarter.
ProFrac Holding (ACDC) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, ProFrac Holding's Weighted Average Shares Outstanding (Diluted) came in at 168.3 million, up 5.3% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for three consecutive years, with a three-year compound annual growth rate of 55.8% (FY2022 to FY2025).
- In prior years, ProFrac Holding's Weighted Average Shares Outstanding (Diluted) was 159.9 million in FY2024 (+22.2%), 130.9 million in FY2023 (+194.2%) and 44.5 million in FY2022.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased in each of the last 13 quarters, with growth averaging 7.8% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 0.1% (Q2 2025) and 285.5% (Q3 2023) over the last five years.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 182 million (Q1 2026), 168.3 million (Q4 2025) and 170.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn | 1.50 Bn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 998.00 Mn |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn | 832.00 Mn |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn | 398.20 Mn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 159.65 Mn |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn | 360.00 Mn |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn | 72.20 Mn |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn | 1.13 Bn |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn | 70.30 Mn |
| 10 | ProFrac Holding | 621.87 Mn | 503.07 Mn | 108.30 Mn | 182.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 182.10 Mn |
| Jun 30, 2026 | 182.00 Mn |
| Mar 31, 2026 | 182.00 Mn |
| Dec 31, 2025 | 168.30 Mn |
| Sep 30, 2025 | 170.80 Mn |
| Jun 30, 2025 | 160.20 Mn |
| Mar 31, 2025 | 160.20 Mn |
| Dec 31, 2024 | 159.90 Mn |
| Sep 30, 2024 | 160.10 Mn |
| Jun 30, 2024 | 160.00 Mn |
| Mar 31, 2024 | 159.80 Mn |
| Dec 31, 2023 | 130.90 Mn |
| Sep 30, 2023 | 159.40 Mn |
| Jun 30, 2023 | 148.80 Mn |
| Mar 31, 2023 | 54.90 Mn |
| Dec 31, 2022 | 44.50 Mn |
| Sep 30, 2022 | 41.35 Mn |
| Jun 30, 2022 | 40.15 Mn |
ProFrac 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=ACDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ACDC", "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=ACDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();