Rpc (RES) Operating Expenses (2009 - 2026)
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Analysis
Rpc (RES) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 427.00 Mn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 910.00 Mn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 5.08 Bn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 2.38 Bn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 668.68 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 1.08 Bn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 990.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 797.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 508.80 Mn |
| 10 | Rpc | 1.16 Bn | 389.33 Mn | 117.98 Mn | 58.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 58.11 Mn |
| Jun 30, 2026 | 58.81 Mn |
| Mar 31, 2026 | 55.50 Mn |
| Dec 31, 2025 | 54.98 Mn |
| Sep 30, 2025 | 51.10 Mn |
| Jun 30, 2025 | 47.38 Mn |
| Mar 31, 2025 | 42.50 Mn |
| Dec 31, 2024 | 41.25 Mn |
| Sep 30, 2024 | 37.70 Mn |
| Jun 30, 2024 | 37.41 Mn |
| Mar 31, 2024 | 40.09 Mn |
| Dec 31, 2023 | 38.13 Mn |
| Sep 30, 2023 | 42.01 Mn |
| Jun 30, 2023 | 43.60 Mn |
| Mar 31, 2023 | 42.20 Mn |
| Dec 31, 2022 | 38.21 Mn |
| Sep 30, 2022 | 38.24 Mn |
| Jun 30, 2022 | 35.88 Mn |
| Mar 31, 2022 | 36.24 Mn |
| Dec 31, 2021 | 32.13 Mn |
API Access
Rpc Operating Expenses 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=operating-expenses&ticker=RES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();