Ferguson Enterprises (FERG) EV to EBITDA (2024 - 2026)
Ferguson Enterprises' (FERG) EV to EBITDA came in at 13.91 for Q3 2026, up 20.7% from 11.52 a year earlier.
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Analysis
Ferguson Enterprises (FERG) EV to EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EV to EBITDA at Ferguson Enterprises was 13.30, up 15.4% year-over-year; for FY2025, it came in at 14.51, down 2.1% from FY2024.
- In prior years, Ferguson Enterprises' EV to EBITDA was 14.82 in FY2024 (+36.4%), 10.86 in FY2023 (+31.7%) and 8.25 in FY2022.
- Quarterly EV to EBITDA has run from a low of 11.52 in Q3 2025 to a high of 16.11 in Q1 2026 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 13.91 |
| Oct 31, 2025 | 16.11 |
| Jul 31, 2025 | 15.02 |
| Mar 31, 2025 | 11.52 |
| Jan 31, 2025 | 12.32 |
| Oct 31, 2024 | 13.27 |
| Jul 31, 2024 | 14.82 |
API Access
Ferguson Enterprises EV to 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=ev-to-ebitda&ticker=FERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();