Dxp Enterprises (DXPE) Total Current Liabilities (2010 - 2026)
Dxp Enterprises (DXPE) posted Total Current Liabilities of $296.95 million for Q2 2026, up 21.0% from $245.45 million a year earlier and up 3.9% from the prior quarter.
Dxp Enterprises (DXPE) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dxp Enterprises' Total Current Liabilities came in at $272.48 million, up 11.7% from FY2024.
- Annual Total Current Liabilities has increased for six consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In prior years, Dxp Enterprises' Total Current Liabilities was $243.98 million in FY2024 (+8.8%), $224.17 million in FY2023 (+5.3%), $212.9 million in FY2022 (+17.6%) and $181.06 million in FY2021 (+23.1%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q2 2017.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 11 quarters, with growth averaging 11.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2022, with growth of 30.3%; the weakest was Q2 2023, with a decline of 12.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $285.7 million (Q1 2026), $272.48 million (Q4 2025) and $262.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 2.14 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 881.80 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 5.70 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 2.72 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 1.15 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 5.14 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 612.41 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.08 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 1.38 Bn |
| 10 | Dxp Enterprises | 2.97 Bn | 2.10 Bn | 183.07 Mn | 296.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 296.95 Mn |
| Mar 31, 2026 | 285.70 Mn |
| Dec 31, 2025 | 272.48 Mn |
| Sep 30, 2025 | 262.29 Mn |
| Jun 30, 2025 | 245.45 Mn |
| Mar 31, 2025 | 245.42 Mn |
| Dec 31, 2024 | 243.98 Mn |
| Sep 30, 2024 | 249.36 Mn |
| Jun 30, 2024 | 227.70 Mn |
| Mar 31, 2024 | 229.40 Mn |
| Dec 31, 2023 | 224.17 Mn |
| Sep 30, 2023 | 221.86 Mn |
| Jun 30, 2023 | 207.97 Mn |
| Mar 31, 2023 | 224.76 Mn |
| Dec 31, 2022 | 212.90 Mn |
| Sep 30, 2022 | 245.86 Mn |
| Jun 30, 2022 | 237.69 Mn |
| Mar 31, 2022 | 177.98 Mn |
| Dec 31, 2021 | 181.06 Mn |
| Sep 30, 2021 | 188.62 Mn |
Dxp Enterprises Total Current 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-current-liabilities&ticker=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();