Ferguson Enterprises (FERG) EBIT (2023 - 2026)
Ferguson Enterprises (FERG) recorded EBIT of $612 million in Q3 2026, up 20.7% from $507 million a year earlier.
Ferguson Enterprises (FERG) EBIT (2023 - 2026) Analysis & Trends
On a TTM basis, Ferguson Enterprises' EBIT came in at $2.82 billion as of Mar 31, 2026, up 17.6% year-over-year; for FY2025, it was $2.61 billion, down 1.7% from FY2024.
- Annual EBIT has declined for three straight years, with a three-year compound annual growth rate of -2.6% (FY2022 to FY2025).
- Across earlier years, EBIT came in at $2.65 billion in FY2024 (-0.3%), $2.66 billion in FY2023 (-5.7%) and $2.82 billion in FY2022.
- Quarterly EBIT has ranged from $410 million in Q2 2025 to $925 million in Q4 2025 over the past five years.
- On a year-over-year basis, EBIT rose in three of the last five quarters, with growth averaging 5.3%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 73.34 Bn | 72.46 Bn | 2.05 Bn | 1.41 Bn |
| 2 | W.W. Grainger | 65.22 Bn | 62.82 Bn | 1.98 Bn | 807.00 Mn |
| 3 | Fastenal | 60.31 Bn | 59.31 Bn | 1.10 Bn | 530.80 Mn |
| 4 | Ferguson Enterprises | 46.98 Bn | 44.19 Bn | 2.32 Bn | 612.00 Mn |
| 5 | Sunbelt Rentals Holdings | 34.35 Bn | 34.23 Bn | 1.25 Bn | 691.00 Mn |
| 6 | Reliance | 22.84 Bn | 21.89 Bn | 1.45 Bn | 552.10 Mn |
| 7 | Wesco International | 16.33 Bn | 13.38 Bn | 1.57 Bn | 450.80 Mn |
| 8 | Watsco | 12.05 Bn | 12.05 Bn | 586.29 Mn | - |
| 9 | Applied Industrial Technologies | 10.95 Bn | 10.83 Bn | 392.21 Mn | 143.59 Mn |
| 10 | Avantor | 10.57 Bn | 9.16 Bn | 534.80 Mn | 139.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 612.00 Mn |
| Oct 31, 2025 | 771.00 Mn |
| Jul 31, 2025 | 925.00 Mn |
| Mar 31, 2025 | 507.00 Mn |
| Jan 31, 2025 | 410.00 Mn |
| Oct 31, 2024 | 665.00 Mn |
| Jul 31, 2024 | 811.00 Mn |
| Apr 30, 2024 | 625.00 Mn |
| Jan 31, 2024 | 477.00 Mn |
| Oct 31, 2023 | 739.00 Mn |
Ferguson Enterprises EBIT 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=ebit&ticker=FERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();