Dxp Enterprises (DXPE) Long-Term Debt Repayments (2011 - 2026)
Dxp Enterprises (DXPE) reported Long-Term Debt Repayments of $2.32 million for Q2 2026, up 11.9% from $2.08 million a year earlier and up 9.6% from the prior quarter.
Dxp Enterprises (DXPE) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dxp Enterprises' Long-Term Debt Repayments came in at $643.75 million, up 18.0% year-over-year; for FY2025, it came in at $643.01 million, up 18.1% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $544.5 million in FY2024 (+28.2%), $424.86 million in FY2023 (-48.6%), $827.15 million in FY2022 and $3.3 million in FY2021 (-98.6%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $825,000 in Q3 2021 and a high of $638.13 million in Q4 2025.
- Year over year, Long-Term Debt Repayments has now increased in each of the last three quarters, with growth averaging 13.6% over the last seven quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q2 2025 (growth of 51.1%); the low point was Q4 2021 (a decline of 99.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.12 million (Q1 2026), $638.13 million (Q4 2025) and $1.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.86 Bn | 67.98 Bn | 2.05 Bn | 2.50 Bn |
| 2 | W.W. Grainger | 64.05 Bn | 61.64 Bn | 1.98 Bn | 3.00 Mn |
| 3 | Fastenal | 60.38 Bn | 59.38 Bn | 1.10 Bn | 335.00 Mn |
| 4 | Ferguson Enterprises | 44.23 Bn | 41.45 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 32.21 Bn | 32.09 Bn | 1.25 Bn | 1.21 Bn |
| 6 | Reliance | 21.26 Bn | 20.30 Bn | 1.30 Bn | 682.00 Mn |
| 7 | Wesco International | 15.74 Bn | 13.06 Bn | 1.46 Bn | 2.80 Bn |
| 8 | Watsco | 12.52 Bn | 10.20 Bn | 578.93 Mn | 1.18 Mn |
| 9 | Applied Industrial Technologies | 11.94 Bn | 11.81 Bn | 411.22 Mn | -3,000.00 |
| 10 | Dxp Enterprises | 2.46 Bn | 1.59 Bn | 183.07 Mn | 4.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.50 Mn |
| Mar 31, 2026 | 4.18 Mn |
| Dec 31, 2025 | 647.22 Mn |
| Sep 30, 2025 | 2.52 Mn |
| Jun 30, 2025 | 3.96 Mn |
| Mar 31, 2025 | 2.99 Mn |
| Dec 31, 2024 | 547.33 Mn |
| Sep 30, 2024 | 8.39 Mn |
| Jun 30, 2024 | 2.47 Mn |
| Mar 31, 2024 | 2.27 Mn |
| Dec 31, 2023 | 426.95 Mn |
| Sep 30, 2023 | 2.72 Mn |
| Jun 30, 2023 | 8.96 Mn |
| Mar 31, 2023 | 1.09 Mn |
| Dec 31, 2022 | 290.85 Mn |
| Sep 30, 2022 | 335.37 Mn |
| Jun 30, 2022 | 203.67 Mn |
| Mar 31, 2022 | 825,000.00 |
| Dec 31, 2021 | 825,000.00 |
| Sep 30, 2021 | 825,000.00 |
Dxp Enterprises Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();