Qxo (QXO) Operating Expenses (2010 - 2026)
Qxo (QXO) reported Operating Expenses of $845 million for Q2 2026, up 49.8% from $564 million a year earlier and up 27.8% from the prior quarter.
Qxo (QXO) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qxo's Operating Expenses came in at $2.72 billion, up 295.2% year-over-year; for FY2025, it came in at $1.82 billion.
- Operating Expenses has a five-year compound annual growth rate of 156.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $94.1 million in FY2024 (+310.5%), $22.93 million in FY2023 (+25.0%), $18.35 million in FY2022 (+5.2%) and $17.44 million in FY2021 (+6.6%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2010.
- The high point for year-over-year Operating Expenses in five years was Q1 2025 (growth of 723.2%); the low point was Q4 2022 (a decline of 0.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $661.2 million (Q1 2026), $599.4 million (Q4 2025) and $610 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 989.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 4.19 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Qxo | 2.38 Bn | -8.10 Bn | 803.00 Mn | 845.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 845.00 Mn |
| Mar 31, 2026 | 661.20 Mn |
| Dec 31, 2025 | 599.40 Mn |
| Sep 30, 2025 | 610.00 Mn |
| Jun 30, 2025 | 564.00 Mn |
| Mar 31, 2025 | 44.70 Mn |
| Dec 31, 2024 | 39.30 Mn |
| Sep 30, 2024 | 39.20 Mn |
| Jun 30, 2024 | 10.10 Mn |
| Mar 31, 2024 | 5.43 Mn |
| Dec 31, 2023 | 5.30 Mn |
| Sep 30, 2023 | 7.91 Mn |
| Jun 30, 2023 | 4.73 Mn |
| Mar 31, 2023 | 4.99 Mn |
| Dec 31, 2022 | 4.87 Mn |
| Sep 30, 2022 | 4.55 Mn |
| Jun 30, 2022 | 4.21 Mn |
| Mar 31, 2022 | 4.72 Mn |
| Dec 31, 2021 | 4.89 Mn |
| Sep 30, 2021 | 4.23 Mn |
Qxo Operating Expenses 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-expenses&ticker=QXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QXO", "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-expenses&ticker=QXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();