Ferguson Enterprises (FERG) Revenue (2023 - 2026)
Ferguson Enterprises (FERG) reported Revenue of $7.47 billion for Q3 2026, up 3.6% from $7.21 billion a year earlier.
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Analysis
Ferguson Enterprises (FERG) Revenue (2023 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Ferguson Enterprises' Revenue came in at $31.35 billion, up 5.2% year-over-year; for FY2025, it came in at $30.76 billion, up 3.8% from FY2024.
- Revenue has a three-year compound annual growth rate of 2.5% (FY2022 to FY2025).
- By year, Revenue came in at $29.64 billion in FY2024 (-0.3%), $29.73 billion in FY2023 (+4.1%) and $28.57 billion in FY2022.
- Five-year quarterly Revenue spans a low of $6.67 billion in Q2 2024 and a high of $8.5 billion in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 4.41 Bn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 5.02 Bn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 2.39 Bn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 7.47 Bn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 3.12 Bn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 4.63 Bn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 6.67 Bn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 1.35 Bn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 2.10 Bn |
| 10 | Avantor | 10.38 Bn | 9.17 Bn | 537.00 Mn | 1.69 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.47 Bn |
| Oct 31, 2025 | 8.17 Bn |
| Jul 31, 2025 | 8.50 Bn |
| Mar 31, 2025 | 7.21 Bn |
| Jan 31, 2025 | 6.87 Bn |
| Oct 31, 2024 | 7.77 Bn |
| Jul 31, 2024 | 7.95 Bn |
| Apr 30, 2024 | 7.31 Bn |
| Jan 31, 2024 | 6.67 Bn |
| Oct 31, 2023 | 7.71 Bn |
API Access
Ferguson Enterprises Revenue 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=revenue&ticker=FERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();