Ranger Energy Services (RNGR) Operating Expenses (2016 - 2026)
Ranger Energy Services (RNGR) posted Operating Expenses of $164.7 million for Q2 2026, up 24.8% from $132 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Ranger Energy Services (RNGR) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Ranger Energy Services was $584 million, up 8.0% year-over-year; for FY2025, it came in at $531.5 million, down 2.0% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- In prior years, Ranger Energy Services' Operating Expenses was $542.5 million in FY2024 (-9.5%), $599.7 million in FY2023 (+1.9%), $588.8 million in FY2022 (+76.5%) and $333.6 million in FY2021 (+62.7%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2016.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 1.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 182.5%; the weakest was Q2 2024, with a decline of 13.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $154 million (Q1 2026), $139 million (Q4 2025) and $126.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 998.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 498.70 Mn |
| 10 | Ranger Energy Services | 359.45 Mn | 292.85 Mn | 33.80 Mn | 164.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 164.70 Mn |
| Mar 31, 2026 | 154.00 Mn |
| Dec 31, 2025 | 139.00 Mn |
| Sep 30, 2025 | 126.30 Mn |
| Jun 30, 2025 | 132.00 Mn |
| Mar 31, 2025 | 134.20 Mn |
| Dec 31, 2024 | 134.20 Mn |
| Sep 30, 2024 | 140.10 Mn |
| Jun 30, 2024 | 130.80 Mn |
| Mar 31, 2024 | 137.40 Mn |
| Dec 31, 2023 | 146.90 Mn |
| Sep 30, 2023 | 152.70 Mn |
| Jun 30, 2023 | 151.80 Mn |
| Mar 31, 2023 | 148.30 Mn |
| Dec 31, 2022 | 145.20 Mn |
| Sep 30, 2022 | 159.00 Mn |
| Jun 30, 2022 | 155.80 Mn |
| Mar 31, 2022 | 128.80 Mn |
| Dec 31, 2021 | 139.70 Mn |
| Sep 30, 2021 | 89.80 Mn |
API Access
Ranger Energy Services Operating Expenses 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=operating-expenses&ticker=RNGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();