Rpc (RES) Selling, General & Administrative (2010 - 2026)
Rpc (RES) recorded Selling, General & Administrative of $51.52 million in Q2 2026, up 26.2% from $40.83 million a year earlier and up 6.9% from the prior quarter.
Rpc (RES) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Rpc's Selling, General & Administrative came in at $192.05 million as of Jun 30, 2026, up 18.3% year-over-year; for FY2025, it came in at $175.64 million, up 12.3% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $156.44 million in FY2024 (-5.7%), $165.94 million in FY2023 (+11.7%), $148.57 million in FY2022 (+20.2%) and $123.57 million in FY2021 (-0.1%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- On a year-over-year basis, Selling, General & Administrative has increased for seven consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 26.2% in Q2 2026, against a decline of 14.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $48.21 million (Q1 2026), $47.69 million (Q4 2025) and $44.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.22 Bn | 69.33 Bn | 1.40 Bn | 84.00 Mn |
| 2 | Baker Hughes | 55.21 Bn | 18.49 Bn | 1.58 Bn | 569.00 Mn |
| 3 | TechnipFMC | 27.04 Bn | 23.19 Bn | 684.70 Mn | 169.30 Mn |
| 4 | Halliburton | 26.59 Bn | 18.34 Bn | 804.00 Mn | 75.00 Mn |
| 5 | Nov | 6.76 Bn | 1.55 Bn | 521.00 Mn | 328.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 26.94 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 56.00 Mn |
| 8 | Weatherford International | 5.63 Bn | 1.57 Bn | 333.00 Mn | 172.00 Mn |
| 9 | Valaris | 5.51 Bn | 3.13 Bn | 123.70 Mn | 27.20 Mn |
| 10 | Rpc | 1.27 Bn | 514.24 Mn | 115.15 Mn | 51.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.52 Mn |
| Mar 31, 2026 | 48.21 Mn |
| Dec 31, 2025 | 47.69 Mn |
| Sep 30, 2025 | 44.63 Mn |
| Jun 30, 2025 | 40.83 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 |
| Sep 30, 2021 | 31.45 Mn |
Rpc Selling, General & Administrative 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=selling-general-and-administrative&ticker=RES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();