Ranger Energy Services (RNGR) Selling, General & Administrative (2016 - 2026)
Ranger Energy Services (RNGR) reported Selling, General & Administrative of $7.6 million for Q2 2026, up 8.6% from $7 million a year earlier but down 2.6% from the prior quarter.
Ranger Energy Services (RNGR) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ranger Energy Services' Selling, General & Administrative came in at $30.9 million, up 9.2% year-over-year; for FY2025, it was $29.6 million, up 6.5% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $27.8 million in FY2024 (-5.8%), $29.5 million in FY2023 (-26.1%), $39.9 million in FY2022 (+15.3%) and $34.6 million in FY2021 (+56.6%).
- Five-year quarterly Selling, General & Administrative spans a low of $6.6 million in Q3 2025 and a high of $17.9 million in Q4 2021.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with growth averaging 6.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2022 (growth of 191.4%); the low point was Q4 2022 (a decline of 58.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.8 million (Q1 2026), $8.9 million (Q4 2025) and $6.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | 84.00 Mn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | 569.00 Mn |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | 169.30 Mn |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | 75.00 Mn |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | 328.00 Mn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | 26.94 Mn |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | 56.00 Mn |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | 172.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | 40.92 Mn |
| 10 | Ranger Energy Services | 371.06 Mn | 304.46 Mn | 33.80 Mn | 7.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.60 Mn |
| Mar 31, 2026 | 7.80 Mn |
| Dec 31, 2025 | 8.90 Mn |
| Sep 30, 2025 | 6.60 Mn |
| Jun 30, 2025 | 7.00 Mn |
| Mar 31, 2025 | 7.10 Mn |
| Dec 31, 2024 | 7.10 Mn |
| Sep 30, 2024 | 7.10 Mn |
| Jun 30, 2024 | 6.90 Mn |
| Mar 31, 2024 | 6.70 Mn |
| Dec 31, 2023 | 6.80 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 7.30 Mn |
| Mar 31, 2023 | 8.40 Mn |
| Dec 31, 2022 | 7.50 Mn |
| Sep 30, 2022 | 11.00 Mn |
| Jun 30, 2022 | 11.20 Mn |
| Mar 31, 2022 | 10.20 Mn |
| Dec 31, 2021 | 17.90 Mn |
| Sep 30, 2021 | 7.10 Mn |
Ranger Energy Services Selling, General & Administrative 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=selling-general-and-administrative&ticker=RNGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();