Ranger Energy Services (RNGR) Depreciation & Amortization - Total (2016 - 2026)
Ranger Energy Services (RNGR) reported Depreciation & Amortization - Total of $15.4 million for Q2 2026, up 43.9% from $10.7 million a year earlier but down 3.8% from the prior quarter.
Ranger Energy Services (RNGR) Depreciation & Amortization - Total (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ranger Energy Services' Depreciation & Amortization - Total came in at $55.9 million, up 30.9% year-over-year; for FY2025, it came in at $45.6 million, up 5.1% from FY2024.
- Depreciation & Amortization - Total has a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- By year, Depreciation & Amortization - Total came in at $43.4 million in FY2024 (+10.7%), $39.2 million in FY2023 (-10.3%), $43.7 million in FY2022 (+21.1%) and $36.1 million in FY2021 (+5.6%).
- Five-year quarterly Depreciation & Amortization - Total spans a low of $8.5 million in Q2 2023 and a high of $16 million in Q1 2026.
- Year over year, Depreciation & Amortization - Total has now increased in each of the last three quarters, with growth averaging 15.7% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization - Total in five years was Q1 2026 (growth of 53.8%); the low point was Q2 2023 (a decline of 24.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16 million (Q1 2026), $13.7 million (Q4 2025) and $10.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | - |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | - |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | - |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | - |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | - |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | 72.90 Mn |
| 10 | Ranger Energy Services | 371.06 Mn | 304.46 Mn | 33.80 Mn | 15.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.40 Mn |
| Mar 31, 2026 | 16.00 Mn |
| Dec 31, 2025 | 13.70 Mn |
| Sep 30, 2025 | 10.80 Mn |
| Jun 30, 2025 | 10.70 Mn |
| Mar 31, 2025 | 10.40 Mn |
| Dec 31, 2024 | 10.70 Mn |
| Sep 30, 2024 | 10.90 Mn |
| Jun 30, 2024 | 10.80 Mn |
| Mar 31, 2024 | 11.00 Mn |
| Dec 31, 2023 | 10.50 Mn |
| Sep 30, 2023 | 10.40 Mn |
| Jun 30, 2023 | 8.50 Mn |
| Mar 31, 2023 | 9.80 Mn |
| Dec 31, 2022 | 10.50 Mn |
| Sep 30, 2022 | 10.50 Mn |
| Jun 30, 2022 | 11.30 Mn |
| Mar 31, 2022 | 11.40 Mn |
| Dec 31, 2021 | 11.70 Mn |
| Sep 30, 2021 | 8.60 Mn |
Ranger Energy Services Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=RNGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=RNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();