Dxp Enterprises (DXPE) EBITDA (2010 - 2026)
Dxp Enterprises (DXPE) recorded EBITDA of $58.55 million in Q2 2026, up 20.7% from $48.51 million a year earlier and up 28.9% from the prior quarter.
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Analysis
Dxp Enterprises (DXPE) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Dxp Enterprises' EBITDA came in at $199.9 million as of Jun 30, 2026, up 11.8% year-over-year; for FY2025, it came in at $187.27 million, up 21.3% from FY2024.
- Annual EBITDA has increased for four straight years.
- Across earlier years, EBITDA came in at $154.4 million in FY2024 (+4.9%), $147.15 million in FY2023 (+14.9%), $128.11 million in FY2022 (+86.9%) and $68.56 million in FY2021.
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA has increased for seven consecutive quarters, with growth averaging 13.6% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 715.7% in Q4 2021, against a decline of 24.4% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $45.42 million (Q1 2026), $49.43 million (Q4 2025) and $46.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 873.00 Mn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 547.30 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 709.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 1.28 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 511.10 Mn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 444.90 Mn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 175.57 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 249.30 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 227.40 Mn |
| 10 | Dxp Enterprises | 2.97 Bn | 2.10 Bn | 183.07 Mn | 58.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.55 Mn |
| Mar 31, 2026 | 45.42 Mn |
| Dec 31, 2025 | 49.43 Mn |
| Sep 30, 2025 | 46.51 Mn |
| Jun 30, 2025 | 48.51 Mn |
| Mar 31, 2025 | 42.83 Mn |
| Dec 31, 2024 | 41.49 Mn |
| Sep 30, 2024 | 45.96 Mn |
| Jun 30, 2024 | 43.23 Mn |
| Mar 31, 2024 | 34.46 Mn |
| Dec 31, 2023 | 32.15 Mn |
| Sep 30, 2023 | 47.59 Mn |
| Jun 30, 2023 | 47.41 Mn |
| Mar 31, 2023 | 45.56 Mn |
| Dec 31, 2022 | 32.77 Mn |
| Sep 30, 2022 | 34.03 Mn |
| Jun 30, 2022 | 33.00 Mn |
| Mar 31, 2022 | 28.77 Mn |
| Dec 31, 2021 | 16.22 Mn |
| Sep 30, 2021 | 17.67 Mn |
API Access
Dxp Enterprises EBITDA 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=ebitda&ticker=DXPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();