Dxp Enterprises (DXPE) Receivables (2010 - 2026)
Dxp Enterprises (DXPE) posted Receivables of $498.9 million for Q2 2026, up 19.2% from $418.65 million a year earlier and up 4.1% from the prior quarter.
Dxp Enterprises (DXPE) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Dxp Enterprises' Receivables came in at $451.36 million, up 15.7% from FY2024.
- Annual Receivables has increased for five consecutive years, with a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- In prior years, Dxp Enterprises' Receivables was $390.1 million in FY2024 (+10.4%), $353.49 million in FY2023 (+2.6%), $344.47 million in FY2022 (+46.4%) and $235.33 million in FY2021 (+26.9%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2010.
- On a year-over-year basis, Receivables has increased in each of the last eight quarters, with growth averaging 14.1% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2022, with growth of 46.4%; the weakest was Q1 2024, with a decline of 1.2%.
- According to Business Quant data, Receivables for the three prior quarters was $479.22 million (Q1 2026), $451.36 million (Q4 2025) and $437.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 2.83 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 1.56 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 3.67 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 2.11 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 2.21 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 4.73 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 831.24 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.06 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 1.14 Bn |
| 10 | Dxp Enterprises | 2.97 Bn | 2.10 Bn | 183.07 Mn | 498.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 498.90 Mn |
| Mar 31, 2026 | 479.22 Mn |
| Dec 31, 2025 | 451.36 Mn |
| Sep 30, 2025 | 437.02 Mn |
| Jun 30, 2025 | 418.65 Mn |
| Mar 31, 2025 | 405.61 Mn |
| Dec 31, 2024 | 390.10 Mn |
| Sep 30, 2024 | 387.43 Mn |
| Jun 30, 2024 | 363.32 Mn |
| Mar 31, 2024 | 349.05 Mn |
| Dec 31, 2023 | 353.49 Mn |
| Sep 30, 2023 | 368.18 Mn |
| Jun 30, 2023 | 365.42 Mn |
| Mar 31, 2023 | 353.35 Mn |
| Dec 31, 2022 | 344.47 Mn |
| Sep 30, 2022 | 313.64 Mn |
| Jun 30, 2022 | 298.97 Mn |
| Mar 31, 2022 | 248.72 Mn |
| Dec 31, 2021 | 235.33 Mn |
| Sep 30, 2021 | 223.53 Mn |
Dxp Enterprises 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=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();