Rpc (RES) Total Non-Current Liabilities (2010 - 2026)
Rpc's Total Non-Current Liabilities came in at $344.07 million for Q2 2026, down 4.6% from $360.55 million a year earlier and down 7.9% from the prior quarter.
Rpc (RES) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Rpc's Total Non-Current Liabilities was $358.4 million, up 19.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $299.1 million in FY2024 (+16.6%), $256.49 million in FY2023 (-3.5%), $265.85 million in FY2022 (+23.4%) and $215.46 million in FY2021 (+35.6%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Year-over-year, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 21.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2025 (growth of 54.8%), and the weakest in Q3 2023 (a decline of 12.5%).
- Business Quant data shows RES's Total Non-Current Liabilities at $373.72 million (Q1 2026), $358.4 million (Q4 2025) and $385.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 26.35 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 31.14 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 6.73 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 14.12 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 4.69 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 2.51 Bn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 3.10 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 5.59 Bn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 1.89 Bn |
| 10 | Rpc | 1.27 Bn | 516.46 Mn | 115.15 Mn | 344.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 344.07 Mn |
| Mar 31, 2026 | 373.72 Mn |
| Dec 31, 2025 | 358.40 Mn |
| Sep 30, 2025 | 385.51 Mn |
| Jun 30, 2025 | 360.55 Mn |
| Mar 31, 2025 | 255.06 Mn |
| Dec 31, 2024 | 299.10 Mn |
| Sep 30, 2024 | 249.07 Mn |
| Jun 30, 2024 | 262.95 Mn |
| Mar 31, 2024 | 255.97 Mn |
| Dec 31, 2023 | 256.49 Mn |
| Sep 30, 2023 | 241.89 Mn |
| Jun 30, 2023 | 236.85 Mn |
| Mar 31, 2023 | 254.87 Mn |
| Dec 31, 2022 | 265.85 Mn |
| Sep 30, 2022 | 276.44 Mn |
| Jun 30, 2022 | 250.88 Mn |
| Mar 31, 2022 | 225.78 Mn |
| Dec 31, 2021 | 215.46 Mn |
| Sep 30, 2021 | 190.48 Mn |
Rpc Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();