Rpc (RES) Total Non-Current Liabilities (2009 - 2026)
Rpc's Total Non-Current Liabilities came in at $319.7 million for Q3 2026, down 17.1% from $385.51 million a year earlier and down 7.1% from the prior quarter.
Rpc (RES) Total Non-Current Liabilities (2009 - 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 Q3 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Year-over-year, Total Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 19.1%.
- 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 2026 (a decline of 17.1%).
- Business Quant data shows RES's Total Non-Current Liabilities at $344.07 million (Q2 2026), $373.72 million (Q1 2026) and $358.4 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 27.03 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 36.63 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 13.84 Bn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 6.25 Bn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 2.61 Bn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 4.62 Bn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 2.99 Bn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 5.31 Bn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 1.87 Bn |
| 10 | Rpc | 1.16 Bn | 389.33 Mn | 117.98 Mn | 319.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 319.70 Mn |
| 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 |
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();