Ranger Energy Services (RNGR) Long-Term Debt Repayments (2016 - 2026)
Ranger Energy Services' Long-Term Debt Repayments came in at $2.3 million for Q2 2026, up 35.3% from $1.7 million a year earlier but down 20.7% from the prior quarter.
Ranger Energy Services (RNGR) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ranger Energy Services reported Long-Term Debt Repayments of $8.4 million, up 29.2% year-over-year; for FY2025, it was $6.6 million, up 15.8% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $5.7 million in FY2024 (-8.1%), $6.2 million in FY2023 (+37.8%), $4.5 million in FY2022 (-16.7%) and $5.4 million in FY2021 (+14.9%).
- The five-year range for quarterly Long-Term Debt Repayments is $200,000 (Q3 2021) to $3 million (Q4 2021).
- Year-over-year, Long-Term Debt Repayments increased in six of the last seven quarters, with growth averaging 28.1%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2022 (growth of 450.0%), and the weakest in Q3 2021 (a decline of 81.8%).
- Business Quant data shows RNGR's Long-Term Debt Repayments at $2.9 million (Q1 2026), $1.5 million (Q4 2025) and $1.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.02 Bn | 69.95 Bn | 1.40 Bn | -3.00 Mn |
| 2 | Baker Hughes | 53.20 Bn | 16.30 Bn | 1.58 Bn | - |
| 3 | Halliburton | 27.79 Bn | 19.51 Bn | 804.00 Mn | - |
| 4 | TechnipFMC | 26.38 Bn | 22.52 Bn | 684.70 Mn | - |
| 5 | Noble | 7.04 Bn | 4.97 Bn | 239.27 Mn | 814.12 Mn |
| 6 | Transocean | 6.81 Bn | 4.52 Bn | 358.00 Mn | 30.00 Mn |
| 7 | Nov | 6.75 Bn | 1.48 Bn | 521.00 Mn | 17.00 Mn |
| 8 | Valaris | 6.40 Bn | 4.01 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 5.88 Bn | 1.62 Bn | 374.00 Mn | 8.00 Mn |
| 10 | Ranger Energy Services | 339.54 Mn | 272.94 Mn | 33.80 Mn | 2.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Mn |
| Mar 31, 2026 | 2.90 Mn |
| Dec 31, 2025 | 1.50 Mn |
| Sep 30, 2025 | 1.70 Mn |
| Jun 30, 2025 | 1.70 Mn |
| Mar 31, 2025 | 1.70 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.60 Mn |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 1.40 Mn |
| Dec 31, 2023 | 1.50 Mn |
| Sep 30, 2023 | 1.30 Mn |
| Jun 30, 2023 | 1.40 Mn |
| Mar 31, 2023 | 1.90 Mn |
| Dec 31, 2022 | 1.90 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 3.30 Mn |
| Dec 31, 2021 | 3.40 Mn |
| Sep 30, 2021 | 200,000.00 |
Ranger Energy Services Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RNGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RNGR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=RNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();