Qxo (QXO) EPS (Diluted) (2009 - 2026)
Qxo's EPS (Diluted) came in at -$0.16 for Q3 2026, compared with -$0.68 a year earlier.
Analysis
Qxo (QXO) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Qxo reported EPS (Diluted) of -$0.65; for FY2025, it came in at -$0.46.
- 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 five-year range for quarterly EPS (Diluted) is -$3.21 (Q3 2023) to $0.64 (Q4 2023).
- Business Quant data shows QXO's EPS (Diluted) at -$0.07 (Q2 2026), -$0.31 (Q1 2026) and -$0.15 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 69.71 Bn | 67.47 Bn | 2.01 Bn | 12.46 |
| 2 | United Rentals | 69.67 Bn | 68.79 Bn | 2.05 Bn | 14.78 |
| 3 | Fastenal | 63.32 Bn | 62.32 Bn | 1.10 Bn | 0.35 |
| 4 | Ferguson Enterprises | 49.80 Bn | 47.02 Bn | 2.32 Bn | 2.13 |
| 5 | Sunbelt Rentals Holdings | 33.71 Bn | 33.59 Bn | 1.25 Bn | 1.06 |
| 6 | Reliance | 21.79 Bn | 20.85 Bn | 1.45 Bn | 7.84 |
| 7 | Wesco International | 15.66 Bn | 12.70 Bn | 1.57 Bn | 5.43 |
| 8 | Qxo | 13.09 Bn | 4.38 Bn | 1.38 Bn | -0.11 |
| 9 | Watsco | 11.10 Bn | 9.17 Bn | 586.29 Mn | 3.77 |
| 10 | Applied Industrial Technologies | 10.86 Bn | 10.75 Bn | 392.21 Mn | 2.97 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.16 |
| Jun 30, 2026 | -0.07 |
| Mar 31, 2026 | -0.31 |
| Dec 31, 2025 | -0.15 |
| Sep 30, 2025 | -0.68 |
| Jun 30, 2025 | -0.29 |
| Mar 31, 2025 | 0.04 |
| 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 |
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();