Qxo (QXO) EPS (Diluted) (2010 - 2026)
Qxo's EPS (Diluted) came in at -$0.27 for Q2 2026, compared with -$0.29 a year earlier.
Analysis
Qxo (QXO) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Qxo reported EPS (Diluted) of -$2.51; for FY2025, it came in at -$1.37.
- Going back by year, EPS (Diluted) was $0.14 in FY2024, -$1.63 in FY2023, -$0.44 in FY2022 and -$0.21 in FY2021.
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) since Q1 2025.
- Business Quant data shows QXO's EPS (Diluted) at -$1.11 (Q1 2026), -$0.44 (Q4 2025) and -$0.68 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.79 Bn | 65.55 Bn | 1.73 Bn | 12.02 |
| 2 | W.W. Grainger | 63.72 Bn | 61.32 Bn | 1.98 Bn | 12.08 |
| 3 | Fastenal | 60.28 Bn | 59.28 Bn | 1.10 Bn | 0.35 |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn | 2.13 |
| 5 | Sunbelt Rentals Holdings | 32.28 Bn | 32.16 Bn | 1.25 Bn | 1.06 |
| 6 | Reliance | 21.45 Bn | 20.49 Bn | 1.30 Bn | 6.29 |
| 7 | Wesco International | 17.03 Bn | 14.34 Bn | 1.46 Bn | 4.23 |
| 8 | Applied Industrial Technologies | 12.67 Bn | 12.54 Bn | 411.22 Mn | 3.13 |
| 9 | Avantor | 11.71 Bn | 10.50 Bn | 537.00 Mn | 0.06 |
| 10 | Qxo | 7.90 Bn | -2.59 Bn | 803.00 Mn | -0.07 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.07 |
| Mar 31, 2026 | -0.31 |
| Dec 31, 2025 | -0.15 |
| Sep 30, 2025 | -0.19 |
| Jun 30, 2025 | -0.10 |
| Mar 31, 2025 | 0.02 |
| Dec 31, 2024 | 0.06 |
| Sep 30, 2024 | 0.05 |
| Jun 30, 2024 | -0.90 |
| Mar 31, 2024 | 0.21 |
| Dec 31, 2023 | 0.64 |
| Sep 30, 2023 | -3.21 |
| Jun 30, 2023 | 0.52 |
| Mar 31, 2023 | 0.42 |
| Dec 31, 2022 | -0.03 |
| Sep 30, 2022 | -0.21 |
| Jun 30, 2022 | -0.14 |
| Mar 31, 2022 | -0.06 |
| Dec 31, 2021 | -0.60 |
| Sep 30, 2021 | -0.37 |
API Access
Qxo EPS (Diluted) 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=eps-diluted&ticker=QXO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=QXO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();