Qxo (QXO) Return on Sales [ROS] (2010 - 2026)
Qxo (QXO) reported Return on Sales [ROS] of -1.29% for Q2 2026, up 7.26 percentage points from -8.55% a year earlier and up 13.27 percentage points from the prior quarter.
Qxo (QXO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Qxo's Return on Sales [ROS] came in at -3.41%, up 10.41 percentage points year-over-year; for FY2025, it came in at -3.58%, up 121.20 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -4.13 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -124.78% in FY2024 (-122.38 pp), -2.40% in FY2023 (-1.55 pp), -0.86% in FY2022 (-0.30 pp) and -0.55% in FY2021 (-1.10 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -291.11% in Q1 2025 and a high of 3.44% in Q2 2023.
- Year over year, Return on Sales [ROS] has now increased in each of the last five quarters, with an average year-over-year change of +3.27 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2026 (a gain of 276.55 percentage points); the low point was Q1 2025 (a drop of 292.69 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -14.56% (Q1 2026), -3.17% (Q4 2025) and 0.95% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 25.80% |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 16.07% |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 21.02% |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 9.54% |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 5.73% |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 11.78% |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 11.32% |
| 10 | Qxo | 2.46 Bn | -8.03 Bn | 803.00 Mn | -1.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.29% |
| Mar 31, 2026 | -14.56% |
| Dec 31, 2025 | -3.17% |
| Sep 30, 2025 | 0.95% |
| Jun 30, 2025 | -8.55% |
| Mar 31, 2025 | -291.11% |
| Dec 31, 2024 | -224.32% |
| Sep 30, 2024 | -257.25% |
| Jun 30, 2024 | -29.66% |
| Mar 31, 2024 | 1.58% |
| Dec 31, 2023 | 2.87% |
| Sep 30, 2023 | -19.06% |
| Jun 30, 2023 | 3.44% |
| Mar 31, 2023 | 2.81% |
| Dec 31, 2022 | -1.36% |
| Sep 30, 2022 | -1.08% |
| Jun 30, 2022 | -0.74% |
| Mar 31, 2022 | -0.18% |
| Dec 31, 2021 | -6.08% |
| Sep 30, 2021 | -2.87% |
Qxo Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=QXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=QXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();