Ranger Energy Services (RNGR) Non-Current Assets (2016 - 2026)
Ranger Energy Services (RNGR) recorded Non-Current Assets of $293.8 million in Q2 2026, up 27.7% from $230.1 million a year earlier but down 2.2% from the prior quarter.
Ranger Energy Services (RNGR) Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Ranger Energy Services reported Non-Current Assets of $298.1 million, up 25.4% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $237.7 million in FY2024 (-2.0%), $242.6 million in FY2023 (+0.5%), $241.5 million in FY2022 (-16.1%) and $287.9 million in FY2021 (+40.5%).
- Quarterly Non-Current Assets has ranged from $213.4 million in Q3 2021 to $300.3 million in Q1 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 40.5% in Q4 2021, against a decline of 16.1% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $300.3 million (Q1 2026), $298.1 million (Q4 2025) and $225.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 35.29 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 22.04 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 4.47 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 13.95 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 5.41 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 6.06 Bn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 13.26 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 1.80 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 4.25 Bn |
| 10 | Ranger Energy Services | 359.45 Mn | 292.85 Mn | 33.80 Mn | 293.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 293.80 Mn |
| Mar 31, 2026 | 300.30 Mn |
| Dec 31, 2025 | 298.10 Mn |
| Sep 30, 2025 | 225.60 Mn |
| Jun 30, 2025 | 230.10 Mn |
| Mar 31, 2025 | 233.00 Mn |
| Dec 31, 2024 | 237.70 Mn |
| Sep 30, 2024 | 241.20 Mn |
| Jun 30, 2024 | 245.20 Mn |
| Mar 31, 2024 | 239.00 Mn |
| Dec 31, 2023 | 242.60 Mn |
| Sep 30, 2023 | 242.50 Mn |
| Jun 30, 2023 | 236.70 Mn |
| Mar 31, 2023 | 235.20 Mn |
| Dec 31, 2022 | 241.50 Mn |
| Sep 30, 2022 | 246.20 Mn |
| Jun 30, 2022 | 255.80 Mn |
| Mar 31, 2022 | 268.10 Mn |
| Dec 31, 2021 | 287.90 Mn |
| Sep 30, 2021 | 213.40 Mn |
Ranger Energy Services Non-Current Assets 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=non-current-assets&ticker=RNGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=RNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();