RenX Enterprises (RENX) Operating Expenses (2022 - 2026)
RenX Enterprises (RENX) posted Operating Expenses of $4.35 million for Q2 2026, down 20.5% from $5.48 million a year earlier but up 6.1% from the prior quarter.
RenX Enterprises (RENX) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at RenX Enterprises was $16.55 million, up 68.2% year-over-year; for FY2025, it was $14.84 million, up 125.4% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a three-year compound annual growth rate of 90.8% (FY2022 to FY2025).
- In prior years, RenX Enterprises' Operating Expenses was $6.58 million in FY2024 (+117.8%), $3.02 million in FY2023 (+41.4%) and $2.14 million in FY2022.
- Quarterly Operating Expenses has run from a low of $436,798 in Q3 2022 to a high of $5.48 million in Q2 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 142.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 479.7%; the weakest was Q1 2025, with a decline of 50.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.1 million (Q1 2026), $4.85 million (Q4 2025) and $3.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.10 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 4.43 Bn |
| 10 | RenX Enterprises | 6.19 Mn | 3.24 Mn | 1.36 Mn | 4.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.35 Mn |
| Mar 31, 2026 | 4.10 Mn |
| Dec 31, 2025 | 4.85 Mn |
| Sep 30, 2025 | 3.24 Mn |
| Jun 30, 2025 | 5.48 Mn |
| Mar 31, 2025 | 1.27 Mn |
| Dec 31, 2024 | 1.62 Mn |
| Sep 30, 2024 | 1.47 Mn |
| Jun 30, 2024 | 945,135.00 |
| Mar 31, 2024 | 2.55 Mn |
| Dec 31, 2023 | 1.22 Mn |
| Sep 30, 2023 | 583,987.00 |
| Jun 30, 2023 | 496,464.00 |
| Mar 31, 2023 | 720,913.00 |
| Dec 31, 2022 | 824,670.00 |
| Sep 30, 2022 | 436,798.00 |
RenX Enterprises Operating 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=operating-expenses&ticker=RENX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RENX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=RENX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();