Dxp Enterprises (DXPE) Depreciation and Depletion (2010 - 2026)
Dxp Enterprises (DXPE) recorded Depreciation and Depletion of $3.06 million in Q2 2026, up 21.3% from $2.52 million a year earlier and up 3.8% from the prior quarter.
Dxp Enterprises (DXPE) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a TTM basis, Dxp Enterprises' Depreciation and Depletion came in at $11.57 million as of Jun 30, 2026, up 23.1% year-over-year; for FY2025, it was $10.4 million, up 15.3% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $9.02 million in FY2024 (+7.1%), $8.42 million in FY2023 (-12.3%), $9.6 million in FY2022 (-3.5%) and $9.95 million in FY2021 (-4.4%).
- The Q2 2026 figure is the highest quarterly Depreciation and Depletion since Q3 2016.
- On a year-over-year basis, Depreciation and Depletion has increased for ten consecutive quarters, with growth averaging 15.4% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 27.2% in Q1 2026, against a decline of 19.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.95 million (Q1 2026), $2.75 million (Q4 2025) and $2.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 704.00 Mn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | - |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 42.80 Mn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 546.00 Mn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | - |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | - |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 6.40 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | - |
| 10 | Dxp Enterprises | 3.01 Bn | 2.14 Bn | 183.07 Mn | 3.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.06 Mn |
| Mar 31, 2026 | 2.95 Mn |
| Dec 31, 2025 | 2.75 Mn |
| Sep 30, 2025 | 2.81 Mn |
| Jun 30, 2025 | 2.52 Mn |
| Mar 31, 2025 | 2.32 Mn |
| Dec 31, 2024 | 2.20 Mn |
| Sep 30, 2024 | 2.37 Mn |
| Jun 30, 2024 | 2.25 Mn |
| Mar 31, 2024 | 2.21 Mn |
| Dec 31, 2023 | 2.16 Mn |
| Sep 30, 2023 | 2.12 Mn |
| Jun 30, 2023 | 2.12 Mn |
| Mar 31, 2023 | 2.02 Mn |
| Dec 31, 2022 | 2.23 Mn |
| Sep 30, 2022 | 2.36 Mn |
| Jun 30, 2022 | 2.49 Mn |
| Mar 31, 2022 | 2.52 Mn |
| Dec 31, 2021 | 2.57 Mn |
| Sep 30, 2021 | 2.25 Mn |
Dxp 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=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "DXPE", "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=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();