Rpc (RES) Total Debt (2010 - 2026)
Rpc's Total Debt was $30 million in Q2 2026, down 40.0% from $50 million a year earlier and down 40.0% from the prior quarter.
Analysis
Rpc (RES) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Rpc came in at $50 million.
- The Q2 2026 figure marks the lowest quarterly Total Debt since Q3 2015.
- Per Business Quant data, RES's Total Debt in the three quarters before Q2 2026 was $50 million (Q1 2026), $50 million (Q4 2025) and $50 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 12.80 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 16.25 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 401.90 Mn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 90.00 Mn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 1.71 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 1.89 Bn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 1.48 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 5.12 Bn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 1.09 Bn |
| 10 | Rpc | 1.27 Bn | 516.46 Mn | 115.15 Mn | 30.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.00 Mn |
| Mar 31, 2026 | 50.00 Mn |
| Dec 31, 2025 | 50.00 Mn |
| Sep 30, 2025 | 50.00 Mn |
| Jun 30, 2025 | 50.00 Mn |
| Sep 30, 2015 | 19.50 Mn |
| Jun 30, 2015 | 54.90 Mn |
| Mar 31, 2015 | 155.60 Mn |
| Dec 31, 2014 | 224.50 Mn |
| Sep 30, 2014 | 152.00 Mn |
| Jun 30, 2014 | 131.40 Mn |
| Mar 31, 2014 | 80.80 Mn |
| Dec 31, 2013 | 53.30 Mn |
| Sep 30, 2013 | 51.40 Mn |
| Jun 30, 2013 | 67.20 Mn |
| Mar 31, 2013 | 87.60 Mn |
| Dec 31, 2012 | 107.00 Mn |
| Sep 30, 2012 | 83.70 Mn |
| Jun 30, 2012 | 162.00 Mn |
| Mar 31, 2012 | 180.80 Mn |
API Access
Rpc Total Debt 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-debt&ticker=RES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=RES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();