Ferguson Enterprises (FERG) Goodwill & Intangibles (2023 - 2026)
Ferguson Enterprises' Goodwill & Intangibles came in at $3.13 billion for Q3 2026.
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Analysis
Ferguson Enterprises (FERG) Goodwill & Intangibles (2023 - 2026) Analysis & Trends
At the end of FY2025, Ferguson Enterprises' Goodwill & Intangibles was $3.19 billion, up 2.6% from FY2024.
- Goodwill & Intangibles has increased in each of the last three years, with a three-year compound annual growth rate of 15.9% (FY2022 to FY2025).
- Going back by year, Goodwill & Intangibles was $3.11 billion in FY2024 (+2.8%), $3.02 billion in FY2023 (+47.7%) and $2.05 billion in FY2022.
- The Q3 2026 figure represents the lowest quarterly Goodwill & Intangibles since Q2 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 69.71 Bn | 67.47 Bn | 2.01 Bn |
| 2 | United Rentals | 69.67 Bn | 68.79 Bn | 2.05 Bn |
| 3 | Fastenal | 63.32 Bn | 62.32 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 49.80 Bn | 47.02 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 33.71 Bn | 33.59 Bn | 1.25 Bn |
| 6 | Reliance | 21.79 Bn | 20.85 Bn | 1.45 Bn |
| 7 | Wesco International | 15.66 Bn | 12.70 Bn | 1.57 Bn |
| 8 | Qxo | 13.09 Bn | 4.38 Bn | 1.38 Bn |
| 9 | Watsco | 11.10 Bn | 9.17 Bn | 586.29 Mn |
| 10 | Applied Industrial Technologies | 10.86 Bn | 10.75 Bn | 392.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.13 Bn |
| Oct 31, 2025 | 3.17 Bn |
| Jul 31, 2025 | 3.19 Bn |
| Mar 31, 2025 | 908.00 Mn |
| Jan 31, 2025 | 3.06 Bn |
| Oct 31, 2024 | 3.08 Bn |
| Jul 31, 2024 | 3.11 Bn |
| Oct 31, 2023 | 8.86 Bn |
| Jul 31, 2023 | 3.02 Bn |
API Access
Ferguson Enterprises Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=FERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();