Dxp Enterprises (DXPE) Operating Income (2010 - 2026)
Dxp Enterprises (DXPE) recorded Operating Income of $55.49 million in Q2 2026, up 20.7% from $45.99 million a year earlier and up 30.7% from the prior quarter.
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Analysis
Dxp Enterprises (DXPE) Operating Income (2010 - 2026) Analysis & Trends
On a TTM basis, Dxp Enterprises' Operating Income came in at $188.34 million as of Jun 30, 2026, up 13.9% year-over-year; for FY2025, it was $176.87 million, up 21.7% from FY2024.
- Annual Operating Income has increased for four straight years.
- Across earlier years, Operating Income came in at $145.38 million in FY2024 (+4.8%), $138.72 million in FY2023 (+41.9%), $97.75 million in FY2022 (+145.3%) and $39.86 million in FY2021.
- The Q2 2026 figure is the highest quarterly Operating Income in data going back to Q2 2010.
- On a year-over-year basis, Operating Income has increased for eight consecutive quarters, with growth averaging 19.8% over the last eight quarters.
- Peak year-over-year performance for Operating Income in the last five years was growth of 245.9% in Q1 2022, against a decline of 17.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $42.47 million (Q1 2026), $46.67 million (Q4 2025) and $43.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 807.00 Mn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 501.80 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 612.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 691.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 441.60 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 382.20 Mn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 159.31 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 238.37 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 121.80 Mn |
| 10 | Dxp Enterprises | 2.81 Bn | 1.94 Bn | 183.07 Mn | 55.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.49 Mn |
| Mar 31, 2026 | 42.47 Mn |
| Dec 31, 2025 | 46.67 Mn |
| Sep 30, 2025 | 43.70 Mn |
| Jun 30, 2025 | 45.99 Mn |
| Mar 31, 2025 | 40.52 Mn |
| Dec 31, 2024 | 39.29 Mn |
| Sep 30, 2024 | 39.61 Mn |
| Jun 30, 2024 | 37.35 Mn |
| Mar 31, 2024 | 29.13 Mn |
| Dec 31, 2023 | 29.99 Mn |
| Sep 30, 2023 | 35.86 Mn |
| Jun 30, 2023 | 37.48 Mn |
| Mar 31, 2023 | 35.40 Mn |
| Dec 31, 2022 | 23.73 Mn |
| Sep 30, 2022 | 26.54 Mn |
| Jun 30, 2022 | 25.92 Mn |
| Mar 31, 2022 | 21.56 Mn |
| Dec 31, 2021 | 7.59 Mn |
| Sep 30, 2021 | 11.19 Mn |
API Access
Dxp Enterprises Operating 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=operating-income&ticker=DXPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=DXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();