Ferguson Enterprises (FERG) EPS (Diluted) (2023 - 2026)
Ferguson Enterprises (FERG) reported EPS (Diluted) of $2.13 for Q3 2026, up 22.6% from $1.73 a year earlier.
Ferguson Enterprises (FERG) EPS (Diluted) (2023 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Ferguson Enterprises' EPS (Diluted) came in at $10.42, up 34.4% year-over-year; for FY2025, it was $9.32, up 9.3% from FY2024.
- EPS (Diluted) has a three-year compound annual growth rate of -1.3% (FY2022 to FY2025).
- By year, EPS (Diluted) came in at $8.53 in FY2024 (-6.5%), $9.12 in FY2023 (-6.0%) and $9.69 in FY2022.
- Five-year quarterly EPS (Diluted) spans a low of $1.38 in Q2 2025 and a high of $3.51 in Q4 2025.
- Year over year, EPS (Diluted) gained in three of the last five quarters, with growth averaging 17.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 67.67 Bn | 65.03 Bn | 2.01 Bn | 12.46 |
| 2 | United Rentals | 65.48 Bn | 64.60 Bn | 2.05 Bn | 14.78 |
| 3 | Fastenal | 60.80 Bn | 59.80 Bn | 1.10 Bn | 0.35 |
| 4 | Ferguson Enterprises | 45.51 Bn | 42.73 Bn | 2.32 Bn | 2.13 |
| 5 | Sunbelt Rentals Holdings | 31.50 Bn | 31.38 Bn | 1.25 Bn | 1.06 |
| 6 | Reliance | 21.26 Bn | 20.31 Bn | 1.45 Bn | 7.84 |
| 7 | Wesco International | 14.25 Bn | 11.29 Bn | 1.57 Bn | 5.43 |
| 8 | Watsco | 11.59 Bn | 9.28 Bn | 578.93 Mn | 4.00 |
| 9 | Avantor | 10.49 Bn | 9.07 Bn | 534.80 Mn | 0.30 |
| 10 | Applied Industrial Technologies | 10.39 Bn | 10.28 Bn | 392.21 Mn | 2.97 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.13 |
| Oct 31, 2025 | 2.90 |
| Jul 31, 2025 | 3.51 |
| Mar 31, 2025 | 1.73 |
| Jan 31, 2025 | 1.38 |
| Oct 31, 2024 | 2.33 |
| Jul 31, 2024 | 2.22 |
| Apr 30, 2024 | 2.18 |
| Jan 31, 2024 | 1.58 |
| Oct 31, 2023 | 2.54 |
Ferguson Enterprises 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=FERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "FERG", "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=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();