Ferguson Enterprises (FERG) EBITDA (2023 - 2026)
Ferguson Enterprises (FERG) posted EBITDA of $709 million for Q3 2026, up 18.2% from $600 million a year earlier.
Ferguson Enterprises (FERG) EBITDA (2023 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EBITDA at Ferguson Enterprises was $3.2 billion, up 16.0% year-over-year; for FY2025, it came in at $2.98 billion, down 0.3% from FY2024.
- Annual EBITDA shows a three-year compound annual growth rate of -1.5% (FY2022 to FY2025).
- In prior years, Ferguson Enterprises' EBITDA was $2.99 billion in FY2024 (+0.2%), $2.98 billion in FY2023 (-4.5%) and $3.12 billion in FY2022.
- Quarterly EBITDA has run from a low of $502 million in Q2 2025 to a high of $1.02 billion in Q4 2025 over five years.
- On a year-over-year basis, EBITDA increased in three of the last five quarters, with growth averaging 5.7%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.76 Bn | 65.52 Bn | 1.73 Bn | 1.26 Bn |
| 2 | W.W. Grainger | 62.44 Bn | 60.04 Bn | 1.98 Bn | 873.00 Mn |
| 3 | Fastenal | 59.15 Bn | 58.07 Bn | 1.06 Bn | 547.30 Mn |
| 4 | Ferguson Enterprises | 43.40 Bn | 40.62 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.72 Bn | 31.60 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 20.61 Bn | 19.65 Bn | 1.30 Bn | 511.10 Mn |
| 7 | Wesco International | 17.76 Bn | 15.07 Bn | 1.46 Bn | 444.90 Mn |
| 8 | Applied Industrial Technologies | 12.47 Bn | 12.35 Bn | 411.22 Mn | 175.57 Mn |
| 9 | Watsco | 11.11 Bn | 8.79 Bn | 578.93 Mn | 249.30 Mn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | 229.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 709.00 Mn |
| Oct 31, 2025 | 865.00 Mn |
| Jul 31, 2025 | 1.02 Bn |
| Mar 31, 2025 | 600.00 Mn |
| Jan 31, 2025 | 502.00 Mn |
| Oct 31, 2024 | 755.00 Mn |
| Jul 31, 2024 | 898.00 Mn |
| Apr 30, 2024 | 710.00 Mn |
| Jan 31, 2024 | 560.00 Mn |
| Oct 31, 2023 | 819.00 Mn |
Ferguson Enterprises EBITDA 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=ebitda&ticker=FERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();