Rpc (RES) Cost of Revenue (2009 - 2026)
Rpc's Cost of Revenue came in at $349.75 million for Q3 2026, up 4.5% from $334.67 million a year earlier and up 1.2% from the prior quarter.
Powered by 
Analysis
Rpc (RES) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Rpc reported Cost of Revenue of $1.39 billion, up 21.0% year-over-year; for FY2025, it came in at $1.23 billion, up 18.9% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $1.04 billion in FY2024 (-4.9%), $1.09 billion in FY2023 (+0.1%), $1.09 billion in FY2022 (+64.1%) and $663.26 million in FY2021 (+38.0%).
- The five-year range for quarterly Cost of Revenue is $200.63 million (Q4 2021) to $355.59 million (Q1 2026).
- Year-over-year, Cost of Revenue has increased for six consecutive quarters, with growth averaging 16.0% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2022 (growth of 81.6%), and the weakest in Q3 2023 (a decline of 22.8%).
- Business Quant data shows RES's Cost of Revenue at $345.72 million (Q2 2026), $355.59 million (Q1 2026) and $336.57 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 7.88 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 6.07 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 4.86 Bn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 2.17 Bn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 500.54 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 1.79 Bn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 769.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 589.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 417.30 Mn |
| 10 | Rpc | 1.16 Bn | 389.33 Mn | 117.98 Mn | 349.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 349.75 Mn |
| Jun 30, 2026 | 345.72 Mn |
| Mar 31, 2026 | 355.59 Mn |
| Dec 31, 2025 | 336.57 Mn |
| Sep 30, 2025 | 334.67 Mn |
| Jun 30, 2025 | 317.75 Mn |
| Mar 31, 2025 | 243.90 Mn |
| Dec 31, 2024 | 250.25 Mn |
| Sep 30, 2024 | 247.51 Mn |
| Jun 30, 2024 | 262.28 Mn |
| Mar 31, 2024 | 276.61 Mn |
| Dec 31, 2023 | 279.40 Mn |
| Sep 30, 2023 | 239.08 Mn |
| Jun 30, 2023 | 265.79 Mn |
| Mar 31, 2023 | 305.25 Mn |
| Dec 31, 2022 | 308.57 Mn |
| Sep 30, 2022 | 309.79 Mn |
| Jun 30, 2022 | 260.92 Mn |
| Mar 31, 2022 | 208.84 Mn |
| Dec 31, 2021 | 200.63 Mn |
API Access
Rpc Cost of Revenue 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=cost-of-revenue&ticker=RES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=RES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();