Dxp Enterprises (DXPE) Cash & Equivalents (2010 - 2026)
Dxp Enterprises (DXPE) recorded Cash & Equivalents of $226.62 million in Q2 2026, up 100.7% from $112.93 million a year earlier and up 6.2% from the prior quarter.
Dxp Enterprises (DXPE) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Dxp Enterprises reported Cash & Equivalents of $303.78 million, up 104.8% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $148.32 million in FY2024 (-14.3%), $173.12 million in FY2023 (+276.1%), $46.03 million in FY2022 (-6.0%) and $48.99 million in FY2021 (-58.9%).
- Quarterly Cash & Equivalents has ranged from $15.53 million in Q2 2023 to $303.78 million in Q4 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for five consecutive quarters, with growth averaging 83.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 276.1% in Q4 2023, against a decline of 74.0% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $213.38 million (Q1 2026), $303.78 million (Q4 2025) and $123.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 112.00 Mn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 589.00 Mn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 204.70 Mn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 820.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 32.00 Mn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 235.40 Mn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 808.90 Mn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | - |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 364.19 Mn |
| 10 | Dxp Enterprises | 3.01 Bn | 2.14 Bn | 183.07 Mn | 226.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 226.62 Mn |
| Mar 31, 2026 | 213.38 Mn |
| Dec 31, 2025 | 303.78 Mn |
| Sep 30, 2025 | 123.83 Mn |
| Jun 30, 2025 | 112.93 Mn |
| Mar 31, 2025 | 114.28 Mn |
| Dec 31, 2024 | 148.32 Mn |
| Sep 30, 2024 | 35.00 Mn |
| Jun 30, 2024 | 49.94 Mn |
| Mar 31, 2024 | 139.70 Mn |
| Dec 31, 2023 | 173.12 Mn |
| Sep 30, 2023 | 27.18 Mn |
| Jun 30, 2023 | 15.53 Mn |
| Mar 31, 2023 | 58.28 Mn |
| Dec 31, 2022 | 46.03 Mn |
| Sep 30, 2022 | 16.97 Mn |
| Jun 30, 2022 | 20.57 Mn |
| Mar 31, 2022 | 36.56 Mn |
| Dec 31, 2021 | 48.99 Mn |
| Sep 30, 2021 | 63.04 Mn |
Dxp Enterprises Cash & Equivalents 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=cash-and-equivalents&ticker=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();