Dxp Enterprises (DXPE) Consolidated Net Income (2010 - 2026)
Dxp Enterprises (DXPE) reported Consolidated Net Income of $28.71 million for Q2 2026, up 21.6% from $23.61 million a year earlier and up 43.7% from the prior quarter.
Dxp Enterprises (DXPE) Consolidated Net Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dxp Enterprises' Consolidated Net Income came in at $93.16 million, up 7.5% year-over-year; for FY2025, it came in at $88.68 million, up 25.8% from FY2024.
- Consolidated Net Income has increased for four consecutive years.
- By year, Consolidated Net Income came in at $70.49 million in FY2024 (+2.4%), $68.81 million in FY2023 (+43.1%), $48.1 million in FY2022 (+205.4%) and $15.75 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Consolidated Net Income in data going back to Q2 2010.
- Year over year, Consolidated Net Income gained in seven of the last eight quarters, with growth averaging 26.9%.
- The high point for year-over-year Consolidated Net Income in five years was Q4 2023 (growth of 99.2%); the low point was Q1 2024 (a decline of 35.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.98 million (Q1 2026), $22.85 million (Q4 2025) and $21.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 753.00 Mn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 600.00 Mn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 382.80 Mn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 414.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 438.00 Mn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 323.60 Mn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 209.60 Mn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 118.60 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 191.30 Mn |
| 10 | Dxp Enterprises | 3.01 Bn | 2.14 Bn | 183.07 Mn | 28.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.71 Mn |
| Mar 31, 2026 | 19.98 Mn |
| Dec 31, 2025 | 22.85 Mn |
| Sep 30, 2025 | 21.63 Mn |
| Jun 30, 2025 | 23.61 Mn |
| Mar 31, 2025 | 20.59 Mn |
| Dec 31, 2024 | 21.36 Mn |
| Sep 30, 2024 | 21.10 Mn |
| Jun 30, 2024 | 16.69 Mn |
| Mar 31, 2024 | 11.33 Mn |
| Dec 31, 2023 | 16.01 Mn |
| Sep 30, 2023 | 16.17 Mn |
| Jun 30, 2023 | 19.05 Mn |
| Mar 31, 2023 | 17.58 Mn |
| Dec 31, 2022 | 8.04 Mn |
| Sep 30, 2022 | 13.04 Mn |
| Jun 30, 2022 | 14.49 Mn |
| Mar 31, 2022 | 12.53 Mn |
| Dec 31, 2021 | 726,000.00 |
| Sep 30, 2021 | 6.94 Mn |
Dxp Enterprises Consolidated Net Income 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=consolidated-net-income&ticker=DXPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();