Ranger Energy Services (RNGR) Receivables (2016 - 2026)
Ranger Energy Services (RNGR) posted Receivables of $123.5 million for Q2 2026, up 77.7% from $69.5 million a year earlier and up 3.7% from the prior quarter.
Ranger Energy Services (RNGR) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2025, Ranger Energy Services' Receivables came in at $77.9 million, up 13.9% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- In prior years, Ranger Energy Services' Receivables was $68.4 million in FY2024 (-19.9%), $85.4 million in FY2023 (-6.4%), $91.2 million in FY2022 (+12.9%) and $80.8 million in FY2021 (+212.0%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2016.
- On a year-over-year basis, Receivables has increased in each of the last three quarters, with growth averaging 15.6% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2022, with growth of 224.5%; the weakest was Q4 2024, with a decline of 19.9%.
- According to Business Quant data, Receivables for the three prior quarters was $119.1 million (Q1 2026), $77.9 million (Q4 2025) and $74.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 9.13 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 8.60 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 2.78 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 5.33 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 2.48 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 547.81 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 604.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 1.19 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 467.60 Mn |
| 10 | Ranger Energy Services | 359.45 Mn | 292.85 Mn | 33.80 Mn | 123.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.50 Mn |
| Mar 31, 2026 | 119.10 Mn |
| Dec 31, 2025 | 77.90 Mn |
| Sep 30, 2025 | 74.10 Mn |
| Jun 30, 2025 | 69.50 Mn |
| Mar 31, 2025 | 67.10 Mn |
| Dec 31, 2024 | 68.40 Mn |
| Sep 30, 2024 | 81.90 Mn |
| Jun 30, 2024 | 70.20 Mn |
| Mar 31, 2024 | 70.60 Mn |
| Dec 31, 2023 | 85.40 Mn |
| Sep 30, 2023 | 89.90 Mn |
| Jun 30, 2023 | 74.90 Mn |
| Mar 31, 2023 | 78.50 Mn |
| Dec 31, 2022 | 91.20 Mn |
| Sep 30, 2022 | 95.00 Mn |
| Jun 30, 2022 | 84.50 Mn |
| Mar 31, 2022 | 88.60 Mn |
| Dec 31, 2021 | 80.80 Mn |
| Sep 30, 2021 | 57.60 Mn |
Ranger Energy Services Receivables 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=receivables&ticker=RNGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();