Ranger Energy Services (RNGR) Short-Term Debt repayments (2019 - 2026)
Ranger Energy Services' Short-Term Debt repayments was $39 million in Q2 2026, compared with $100,000 a year earlier and up 104.2% from the prior quarter.
Ranger Energy Services (RNGR) Short-Term Debt repayments (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ranger Energy Services' Short-Term Debt repayments was $97.4 million through Jun 30, 2026, up 505.0% year-over-year; for FY2025, it came in at $39.5 million, up 44.7% from FY2024.
- Short-Term Debt repayments shows a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- In earlier years, Short-Term Debt repayments was $27.3 million in FY2024 (-91.9%), $338.1 million in FY2023 (-45.7%), $622.9 million in FY2022 (+287.9%) and $160.6 million in FY2021 (+241.0%).
- Quarterly Short-Term Debt repayments has moved between -$272.7 million (Q3 2022) and $609 million (Q4 2022) over five years.
- Compared with a year earlier, Short-Term Debt repayments was higher in 1 of the last five quarters, with an average decline of 56.9%.
- The best year-over-year quarter for Short-Term Debt repayments over five years was Q3 2021 (growth of 543.4%); the worst was Q3 2025 (a decline of 99.3%).
- Per Business Quant data, RNGR's Short-Term Debt repayments in the three quarters before Q2 2026 was $19.1 million (Q1 2026), $39.2 million (Q4 2025) and $100,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.58 Bn | 70.69 Bn | 1.40 Bn | - |
| 2 | Baker Hughes | 53.23 Bn | 16.50 Bn | 1.58 Bn | - |
| 3 | Halliburton | 27.65 Bn | 19.41 Bn | 804.00 Mn | - |
| 4 | TechnipFMC | 26.24 Bn | 22.39 Bn | 684.70 Mn | 10.50 Mn |
| 5 | Noble | 7.02 Bn | 4.95 Bn | 239.27 Mn | - |
| 6 | Transocean | 6.79 Bn | 4.50 Bn | 358.00 Mn | - |
| 7 | Nov | 6.71 Bn | 1.50 Bn | 521.00 Mn | - |
| 8 | Valaris | 6.40 Bn | 4.01 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 5.89 Bn | 1.66 Bn | 374.00 Mn | - |
| 10 | Ranger Energy Services | 339.07 Mn | 272.47 Mn | 33.80 Mn | 39.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.00 Mn |
| Mar 31, 2026 | 19.10 Mn |
| Dec 31, 2025 | 39.20 Mn |
| Sep 30, 2025 | 100,000.00 |
| Jun 30, 2025 | 100,000.00 |
| Mar 31, 2025 | 100,000.00 |
| Dec 31, 2024 | 2.00 Mn |
| Sep 30, 2024 | 13.90 Mn |
| Jun 30, 2024 | 9.30 Mn |
| Mar 31, 2024 | 2.10 Mn |
| Dec 31, 2023 | 19.60 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 141.80 Mn |
| Mar 31, 2023 | 169.70 Mn |
| Dec 31, 2022 | 609.00 Mn |
| Sep 30, 2022 | -272.70 Mn |
| Jun 30, 2022 | 165.00 Mn |
| Mar 31, 2022 | 121.60 Mn |
| Dec 31, 2021 | 108.10 Mn |
| Sep 30, 2021 | 34.10 Mn |
Ranger Energy Services Short-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=short-term-debt-repayments&ticker=RNGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=RNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();