Ferguson Enterprises (FERG) Price to Book (2023 - 2026)
Ferguson Enterprises' (FERG) Price to Book came in at 7.71 for Q3 2026, up 31.7% from 5.85 a year earlier.
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Analysis
Ferguson Enterprises (FERG) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Ferguson Enterprises' Price to Book stood at 7.53, down 5.7% from FY2024.
- In prior years, Ferguson Enterprises' Price to Book was 7.98 in FY2024 (+21.9%), 6.55 in FY2023 (+15.2%) and 5.68 in FY2022.
- Quarterly Price to Book has run from a low of 5.71 in Q1 2024 to a high of 8.04 in Q1 2026 over five years.
- On a year-over-year basis, Price to Book increased in four of the last six quarters, with growth averaging 13.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn |
| 10 | Core & Main | 7.65 Bn | 6.95 Bn | 573.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.71 |
| Oct 31, 2025 | 8.04 |
| Jul 31, 2025 | 7.53 |
| Mar 31, 2025 | 5.85 |
| Jan 31, 2025 | 6.57 |
| Oct 31, 2024 | 6.97 |
| Jul 31, 2024 | 7.98 |
| Apr 30, 2024 | 7.69 |
| Jan 31, 2024 | 7.04 |
| Oct 31, 2023 | 5.71 |
| Jul 31, 2023 | 6.55 |
API Access
Ferguson Enterprises Price to Book 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=price-to-book&ticker=FERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();