RenX Enterprises (RENX) Depreciation and Depletion (2023 - 2026)
RenX Enterprises' Depreciation and Depletion came in at $555,399 for Q2 2026, up 287.8% from $143,210 a year earlier and up 0.3% from the prior quarter.
RenX Enterprises (RENX) Depreciation and Depletion (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, RenX Enterprises reported Depreciation and Depletion of $2.01 million; for FY2025, it came in at $1.05 million.
- Going back by year, Depreciation and Depletion was $1,012 in FY2024 (+328.8%) and $236.00 in FY2023.
- The Q2 2026 figure represents the highest quarterly Depreciation and Depletion in data going back to Q4 2023.
- Business Quant data shows RENX's Depreciation and Depletion at $553,814 (Q1 2026), $469,943 (Q4 2025) and $431,097 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 638.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | - |
| 10 | RenX Enterprises | 5.54 Mn | 2.58 Mn | 1.36 Mn | 555,399.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 555,399.00 |
| Mar 31, 2026 | 553,814.00 |
| Dec 31, 2025 | 469,943.00 |
| Sep 30, 2025 | 431,097.00 |
| Jun 30, 2025 | 143,210.00 |
| Mar 31, 2025 | 365.00 |
| Dec 31, 2024 | -787.00 |
| Sep 30, 2024 | 1,443.00 |
| Mar 31, 2024 | 161.00 |
| Dec 31, 2023 | 161.00 |
RenX Enterprises Depreciation and Depletion 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-depletion&ticker=RENX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RENX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();