Ranger Energy Services (RNGR) Cash & Equivalents (2016 - 2026)
Ranger Energy Services (RNGR) posted Cash & Equivalents of $4.2 million for Q2 2026, down 91.4% from $48.9 million a year earlier and down 39.1% from the prior quarter.
Ranger Energy Services (RNGR) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Ranger Energy Services' Cash & Equivalents came in at $10.3 million, down 74.8% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- In prior years, Ranger Energy Services' Cash & Equivalents was $40.9 million in FY2024 (+160.5%), $15.7 million in FY2023 (+324.3%), $3.7 million in FY2022 (+516.7%) and $600,000 in FY2021 (-78.6%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q4 2022.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last three quarters, with growth averaging 115.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2022, with growth of 516.7%; the weakest was Q2 2026, with a decline of 91.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $6.9 million (Q1 2026), $10.3 million (Q4 2025) and $45.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 78.73 Bn | 75.84 Bn | 1.40 Bn | 2.74 Bn |
| 2 | Baker Hughes | 55.45 Bn | 18.73 Bn | 1.58 Bn | 15.73 Bn |
| 3 | Halliburton | 28.88 Bn | 20.83 Bn | 840.00 Mn | 1.84 Bn |
| 4 | TechnipFMC | 27.45 Bn | 23.60 Bn | 684.70 Mn | 991.80 Mn |
| 5 | Noble | 7.62 Bn | 5.55 Bn | 239.27 Mn | 456.21 Mn |
| 6 | Transocean | 7.16 Bn | 4.87 Bn | 358.00 Mn | 509.00 Mn |
| 7 | Nov | 7.06 Bn | 1.85 Bn | 521.00 Mn | 1.16 Bn |
| 8 | Valaris | 6.74 Bn | 4.36 Bn | 123.70 Mn | 541.20 Mn |
| 9 | Weatherford International | 6.30 Bn | 2.07 Bn | 374.00 Mn | 1.16 Bn |
| 10 | Ranger Energy Services | 347.84 Mn | 281.24 Mn | 33.80 Mn | 4.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.20 Mn |
| Mar 31, 2026 | 6.90 Mn |
| Dec 31, 2025 | 10.30 Mn |
| Sep 30, 2025 | 45.20 Mn |
| Jun 30, 2025 | 48.90 Mn |
| Mar 31, 2025 | 40.30 Mn |
| Dec 31, 2024 | 40.90 Mn |
| Sep 30, 2024 | 14.80 Mn |
| Jun 30, 2024 | 8.70 Mn |
| Mar 31, 2024 | 11.10 Mn |
| Dec 31, 2023 | 15.70 Mn |
| Sep 30, 2023 | 8.20 Mn |
| Jun 30, 2023 | 6.40 Mn |
| Mar 31, 2023 | 14.40 Mn |
| Dec 31, 2022 | 3.70 Mn |
| Sep 30, 2022 | 5.20 Mn |
| Jun 30, 2022 | 5.10 Mn |
| Mar 31, 2022 | 3.80 Mn |
| Dec 31, 2021 | 600,000.00 |
| Sep 30, 2021 | 2.80 Mn |
Ranger Energy Services Cash & Equivalents 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=cash-and-equivalents&ticker=RNGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();