Rpc (RES) Property, Plant & Equipment (Net) (2009 - 2026)
Rpc's Property, Plant & Equipment (Net) was $473.61 million in Q3 2026, down 15.5% from $560.3 million a year earlier and down 8.7% from the prior quarter.
Rpc (RES) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Rpc came in at $531.56 million, up 3.5% from FY2024.
- Property, Plant & Equipment (Net) has now increased for four consecutive years, with a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $513.52 million in FY2024 (+18.0%), $435.14 million in FY2023 (+30.6%), $333.09 million in FY2022 (+30.9%) and $254.41 million in FY2021 (-3.8%).
- The Q3 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q1 2024.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in six of the last eight quarters, with growth averaging 4.3%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2023 (growth of 46.0%); the worst was Q3 2026 (a decline of 15.5%).
- Per Business Quant data, RES's Property, Plant & Equipment (Net) in the three quarters before Q3 2026 was $519.01 million (Q2 2026), $521.21 million (Q1 2026) and $531.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 7.71 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 6.78 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 5.15 Bn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 2.25 Bn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 5.51 Bn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 1.99 Bn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 1.16 Bn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 12.24 Bn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 2.26 Bn |
| 10 | Rpc | 1.16 Bn | 389.33 Mn | 117.98 Mn | 473.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 473.61 Mn |
| Jun 30, 2026 | 519.01 Mn |
| Mar 31, 2026 | 521.21 Mn |
| Dec 31, 2025 | 531.56 Mn |
| Sep 30, 2025 | 560.30 Mn |
| Jun 30, 2025 | 560.94 Mn |
| Mar 31, 2025 | 503.91 Mn |
| Dec 31, 2024 | 513.52 Mn |
| Sep 30, 2024 | 509.29 Mn |
| Jun 30, 2024 | 500.49 Mn |
| Mar 31, 2024 | 457.75 Mn |
| Dec 31, 2023 | 435.14 Mn |
| Sep 30, 2023 | 436.34 Mn |
| Jun 30, 2023 | 387.99 Mn |
| Mar 31, 2023 | 375.46 Mn |
| Dec 31, 2022 | 333.09 Mn |
| Sep 30, 2022 | 312.60 Mn |
| Jun 30, 2022 | 269.52 Mn |
| Mar 31, 2022 | 257.14 Mn |
| Dec 31, 2021 | 254.41 Mn |
Rpc Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();