Dxp Enterprises (DXPE) Other Accumulated Expenses (2010 - 2026)
Dxp Enterprises (DXPE) posted Other Accumulated Expenses of $49.88 million for Q2 2026, up 22.7% from $40.65 million a year earlier but down 2.0% from the prior quarter.
Dxp Enterprises (DXPE) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Dxp Enterprises' Other Accumulated Expenses came in at $45.77 million, down 9.9% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In prior years, Dxp Enterprises' Other Accumulated Expenses was $50.77 million in FY2024 (+3.9%), $48.85 million in FY2023 (+19.6%), $40.85 million in FY2022 (-3.2%) and $42.21 million in FY2021 (+21.5%).
- Quarterly Other Accumulated Expenses has run from a low of $28.68 million in Q3 2022 to a high of $58.31 million in Q1 2024 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in four of the last eight quarters, with growth averaging 0.9%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2021, with growth of 95.8%; the weakest was Q1 2025, with a decline of 39.4%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $50.88 million (Q1 2026), $45.77 million (Q4 2025) and $42.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn |
| 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 |
| 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 |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn |
| 10 | Dxp Enterprises | 3.01 Bn | 2.14 Bn | 183.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.88 Mn |
| Mar 31, 2026 | 50.88 Mn |
| Dec 31, 2025 | 45.77 Mn |
| Sep 30, 2025 | 42.70 Mn |
| Jun 30, 2025 | 40.65 Mn |
| Mar 31, 2025 | 35.32 Mn |
| Dec 31, 2024 | 50.77 Mn |
| Sep 30, 2024 | 56.34 Mn |
| Jun 30, 2024 | 47.45 Mn |
| Mar 31, 2024 | 58.31 Mn |
| Dec 31, 2023 | 48.85 Mn |
| Sep 30, 2023 | 45.28 Mn |
| Jun 30, 2023 | 42.84 Mn |
| Mar 31, 2023 | 38.80 Mn |
| Dec 31, 2022 | 40.85 Mn |
| Sep 30, 2022 | 28.68 Mn |
| Jun 30, 2022 | 33.33 Mn |
| Mar 31, 2022 | 32.69 Mn |
| Dec 31, 2021 | 42.21 Mn |
| Sep 30, 2021 | 40.58 Mn |
Dxp Enterprises Other Accumulated 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=other-accumulated-expenses&ticker=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();