Dxp Enterprises (DXPE) Total Liabilities (2010 - 2026)
Dxp Enterprises' Total Liabilities was $1.23 billion in Q2 2026, up 30.1% from $944.3 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Dxp Enterprises (DXPE) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Dxp Enterprises came in at $1.19 billion, up 28.1% from FY2024.
- Total Liabilities has now increased for nine consecutive years, with a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $926.71 million in FY2024 (+16.3%), $796.56 million in FY2023 (+18.6%), $671.89 million in FY2022 (+22.7%) and $547.5 million in FY2021 (+5.5%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for 23 straight quarters, with growth averaging 21.8% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 2.0% (Q1 2022) and 40.0% (Q3 2021) over the last five years.
- Per Business Quant data, DXPE's Total Liabilities in the three quarters before Q2 2026 was $1.21 billion (Q1 2026), $1.19 billion (Q4 2025) and $956.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 5.11 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 1.22 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 11.92 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 16.17 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 3.75 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 12.59 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 1.15 Bn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.61 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 5.97 Bn |
| 10 | Dxp Enterprises | 2.97 Bn | 2.10 Bn | 183.07 Mn | 1.23 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 Bn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | 1.19 Bn |
| Sep 30, 2025 | 956.12 Mn |
| Jun 30, 2025 | 944.30 Mn |
| Mar 31, 2025 | 937.85 Mn |
| Dec 31, 2024 | 926.71 Mn |
| Sep 30, 2024 | 829.08 Mn |
| Jun 30, 2024 | 804.47 Mn |
| Mar 31, 2024 | 808.69 Mn |
| Dec 31, 2023 | 796.56 Mn |
| Sep 30, 2023 | 681.53 Mn |
| Jun 30, 2023 | 664.97 Mn |
| Mar 31, 2023 | 678.88 Mn |
| Dec 31, 2022 | 671.89 Mn |
| Sep 30, 2022 | 610.46 Mn |
| Jun 30, 2022 | 608.44 Mn |
| Mar 31, 2022 | 542.19 Mn |
| Dec 31, 2021 | 547.50 Mn |
| Sep 30, 2021 | 563.63 Mn |
API Access
Dxp Enterprises Total Liabilities 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=total-liabilities&ticker=DXPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();