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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (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 | 1.06 |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 6.29 |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 4.23 |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 3.13 |
| 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 | 0.74 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();