Rpc (RES) Capital Expenditures (2009 - 2026)
Rpc (RES) recorded Capital Expenditures of $39.89 million in Q3 2026, down 6.0% from $42.46 million a year earlier but up 3.0% from the prior quarter.
Rpc (RES) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Rpc's Capital Expenditures came in at $141.35 million as of Sep 30, 2026, down 10.7% year-over-year; for FY2025, it was $148.41 million, down 32.5% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $219.93 million in FY2024 (+21.5%), $181.01 million in FY2023 (+29.7%), $139.55 million in FY2022 (+106.3%) and $67.65 million in FY2021 (+4.0%).
- Quarterly Capital Expenditures has ranged from $19.08 million in Q1 2022 to $75.02 million in Q2 2024 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for seven consecutive quarters, with an average decline of 14.3% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 242.2% in Q1 2023, against a decline of 42.6% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.73 million (Q2 2026), $32.11 million (Q1 2026) and $30.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 485.00 Mn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 271.00 Mn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 266.00 Mn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 61.00 Mn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 191.98 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 88.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 45.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 43.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 121.60 Mn |
| 10 | Rpc | 1.16 Bn | 389.33 Mn | 117.98 Mn | 39.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 39.89 Mn |
| Jun 30, 2026 | 38.73 Mn |
| Mar 31, 2026 | 32.11 Mn |
| Dec 31, 2025 | 30.63 Mn |
| Sep 30, 2025 | 42.46 Mn |
| Jun 30, 2025 | 43.05 Mn |
| Mar 31, 2025 | 32.27 Mn |
| Dec 31, 2024 | 40.47 Mn |
| Sep 30, 2024 | 51.66 Mn |
| Jun 30, 2024 | 75.02 Mn |
| Mar 31, 2024 | 52.78 Mn |
| Dec 31, 2023 | 32.19 Mn |
| Sep 30, 2023 | 44.33 Mn |
| Jun 30, 2023 | 39.19 Mn |
| Mar 31, 2023 | 65.30 Mn |
| Dec 31, 2022 | 49.33 Mn |
| Sep 30, 2022 | 39.65 Mn |
| Jun 30, 2022 | 31.49 Mn |
| Mar 31, 2022 | 19.08 Mn |
| Dec 31, 2021 | 22.72 Mn |
Rpc Capital Expenditures 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=capital-expenditures&ticker=RES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=RES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();