Ferguson Enterprises (FERG) EPS (Basic) (2023 - 2026)
Ferguson Enterprises (FERG) posted EPS (Basic) of $2.13 for Q3 2026, up 22.6% from $1.74 a year earlier.
Ferguson Enterprises (FERG) EPS (Basic) (2023 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EPS (Basic) at Ferguson Enterprises was $10.43, up 34.4% year-over-year; for FY2025, it came in at $9.33, up 9.1% from FY2024.
- Annual EPS (Basic) shows a three-year compound annual growth rate of -1.4% (FY2022 to FY2025).
- In prior years, Ferguson Enterprises' EPS (Basic) was $8.55 in FY2024 (-6.6%), $9.15 in FY2023 (-6.1%) and $9.75 in FY2022.
- Quarterly EPS (Basic) has run from a low of $1.38 in Q2 2025 to a high of $3.52 in Q4 2025 over five years.
- On a year-over-year basis, EPS (Basic) increased in three of the last five quarters, with growth averaging 16.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 12.08 |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 0.33 |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 2.13 |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 1.07 |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 6.33 |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 4.28 |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 3.17 |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 4.00 |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 0.06 |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn | 0.77 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.13 |
| Oct 31, 2025 | 2.91 |
| Jul 31, 2025 | 3.52 |
| Mar 31, 2025 | 1.74 |
| Jan 31, 2025 | 1.38 |
| Oct 31, 2024 | 2.34 |
| Jul 31, 2024 | 2.22 |
| Apr 30, 2024 | 2.19 |
| Jan 31, 2024 | 1.58 |
| Oct 31, 2023 | 2.55 |
Ferguson Enterprises EPS (Basic) 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-basic&ticker=FERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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-basic&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();