Rpc (RES) Operating Expenses (2010 - 2026)
Rpc (RES) recorded Operating Expenses of $58.81 million in Q2 2026, up 24.1% from $47.38 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Rpc (RES) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Rpc's Operating Expenses came in at $220.39 million as of Jun 30, 2026, up 30.5% year-over-year; for FY2025, it was $346.95 million, up 20.9% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $286.94 million in FY2024 (+5.0%), $273.24 million in FY2023 (+18.4%), $230.77 million in FY2022 (+17.6%) and $196.27 million in FY2021 (-11.2%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased for seven consecutive quarters, with growth averaging 19.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 35.5% in Q3 2025, against a decline of 14.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $55.5 million (Q1 2026), $54.98 million (Q4 2025) and $51.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 998.00 Mn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 812.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 498.70 Mn |
| 10 | Rpc | 1.27 Bn | 516.46 Mn | 115.15 Mn | 58.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 31.45 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();