Ranger Energy Services (RNGR) Accumulated Expenses (2016 - 2026)
Ranger Energy Services' Accumulated Expenses came in at $40.1 million for Q2 2026, up 41.7% from $28.3 million a year earlier and up 40.7% from the prior quarter.
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Analysis
Ranger Energy Services (RNGR) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Ranger Energy Services' Accumulated Expenses was $25.4 million, down 9.9% from FY2024.
- Accumulated Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $28.2 million in FY2024 (-4.7%), $29.6 million in FY2023 (-18.0%), $36.1 million in FY2022 (+19.1%) and $30.3 million in FY2021 (+225.8%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2016.
- Year-over-year, Accumulated Expenses increased in two of the last eight quarters, with growth averaging 2.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2021 (growth of 287.1%), and the weakest in Q4 2023 (a decline of 18.0%).
- Business Quant data shows RNGR's Accumulated Expenses at $28.5 million (Q1 2026), $25.4 million (Q4 2025) and $25.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 78.73 Bn | 75.84 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.45 Bn | 18.73 Bn | 1.58 Bn |
| 3 | Halliburton | 28.88 Bn | 20.83 Bn | 840.00 Mn |
| 4 | TechnipFMC | 27.45 Bn | 23.60 Bn | 684.70 Mn |
| 5 | Noble | 7.62 Bn | 5.55 Bn | 239.27 Mn |
| 6 | Transocean | 7.16 Bn | 4.87 Bn | 358.00 Mn |
| 7 | Nov | 7.06 Bn | 1.85 Bn | 521.00 Mn |
| 8 | Valaris | 6.74 Bn | 4.36 Bn | 123.70 Mn |
| 9 | Weatherford International | 6.30 Bn | 2.07 Bn | 374.00 Mn |
| 10 | Ranger Energy Services | 347.84 Mn | 281.24 Mn | 33.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.10 Mn |
| Mar 31, 2026 | 28.50 Mn |
| Dec 31, 2025 | 25.40 Mn |
| Sep 30, 2025 | 25.50 Mn |
| Jun 30, 2025 | 28.30 Mn |
| Mar 31, 2025 | 25.80 Mn |
| Dec 31, 2024 | 28.20 Mn |
| Sep 30, 2024 | 27.60 Mn |
| Jun 30, 2024 | 28.70 Mn |
| Mar 31, 2024 | 27.00 Mn |
| Dec 31, 2023 | 29.60 Mn |
| Sep 30, 2023 | 29.60 Mn |
| Jun 30, 2023 | 31.10 Mn |
| Mar 31, 2023 | 23.80 Mn |
| Dec 31, 2022 | 36.10 Mn |
| Sep 30, 2022 | 34.00 Mn |
| Jun 30, 2022 | 30.30 Mn |
| Mar 31, 2022 | 24.40 Mn |
| Dec 31, 2021 | 30.30 Mn |
| Sep 30, 2021 | 32.90 Mn |
API Access
Ranger Energy Services Accumulated 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=accumulated-expenses&ticker=RNGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();