Rpc (RES) Shares Outstanding (Diluted) (2009 - 2026)
Rpc (RES) posted Weighted Average Shares Outstanding (Diluted) of 215 million for Q3 2026, up 1.3% from 212.24 million a year earlier and unchanged from the prior quarter.
Rpc (RES) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Rpc's Weighted Average Shares Outstanding (Diluted) came in at 212.16 million, up 0.4% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In prior years, Rpc's Weighted Average Shares Outstanding (Diluted) was 211.36 million in FY2024 (-0.7%), 212.93 million in FY2023 (-0.2%), 213.33 million in FY2022 (+0.2%) and 213.01 million in FY2021 (-0.6%).
- The Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2014.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased in each of the last seven quarters, with growth averaging 0.5% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q2 2026, with growth of 1.3%; the weakest was Q2 2024, with a decline of 1.0%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 215 million (Q2 2026), 213.76 million (Q1 2026) and 212.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 1.50 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 998.00 Mn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 832.00 Mn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 398.20 Mn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 159.65 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 360.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 72.20 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 1.13 Bn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 70.30 Mn |
| 10 | Rpc | 1.16 Bn | 389.33 Mn | 117.98 Mn | 215.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 215.00 Mn |
| Jun 30, 2026 | 215.00 Mn |
| Mar 31, 2026 | 213.76 Mn |
| Dec 31, 2025 | 212.16 Mn |
| Sep 30, 2025 | 212.24 Mn |
| Jun 30, 2025 | 212.22 Mn |
| Mar 31, 2025 | 211.92 Mn |
| Dec 31, 2024 | 211.36 Mn |
| Sep 30, 2024 | 211.25 Mn |
| Jun 30, 2024 | 211.24 Mn |
| Mar 31, 2024 | 211.69 Mn |
| Dec 31, 2023 | 212.93 Mn |
| Sep 30, 2023 | 212.79 Mn |
| Jun 30, 2023 | 213.36 Mn |
| Mar 31, 2023 | 213.65 Mn |
| Dec 31, 2022 | 213.33 Mn |
| Sep 30, 2022 | 213.36 Mn |
| Jun 30, 2022 | 213.36 Mn |
| Mar 31, 2022 | 213.25 Mn |
| Dec 31, 2021 | 213.01 Mn |
Rpc 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=RES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "RES", "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=RES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();