Ferguson Enterprises (FERG) Cost of Revenue (2023 - 2026)
Ferguson Enterprises (FERG) reported Cost of Revenue of $5.15 billion for Q3 2026, up 3.1% from $5 billion a year earlier.
Ferguson Enterprises (FERG) Cost of Revenue (2023 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Ferguson Enterprises' Cost of Revenue came in at $21.62 billion, up 4.2% year-over-year; for FY2025, it was $21.33 billion, up 3.6% from FY2024.
- Cost of Revenue has a three-year compound annual growth rate of 2.5% (FY2022 to FY2025).
- By year, Cost of Revenue came in at $20.58 billion in FY2024 (-0.6%), $20.71 billion in FY2023 (+4.5%) and $19.81 billion in FY2022.
- Five-year quarterly Cost of Revenue spans a low of $4.64 billion in Q2 2024 and a high of $5.8 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | 2.68 Bn |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | 3.04 Bn |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | 1.32 Bn |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | 5.15 Bn |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | 1.87 Bn |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | 3.33 Bn |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | 5.21 Bn |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | 941.47 Mn |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | 1.53 Bn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | 1.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.15 Bn |
| Oct 31, 2025 | 5.66 Bn |
| Jul 31, 2025 | 5.80 Bn |
| Mar 31, 2025 | 5.00 Bn |
| Jan 31, 2025 | 4.83 Bn |
| Oct 31, 2024 | 5.43 Bn |
| Jul 31, 2024 | 5.49 Bn |
| Apr 30, 2024 | 5.08 Bn |
| Jan 31, 2024 | 4.64 Bn |
| Oct 31, 2023 | 5.38 Bn |
Ferguson Enterprises Cost of 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=cost-of-revenue&ticker=FERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();