Ferguson Enterprises (FERG) Gross Margin (2023 - 2026)
Ferguson Enterprises' Gross Margin was 31.02% in Q3 2026, up 0.30 percentage points from 30.72% a year earlier.
Ferguson Enterprises (FERG) Gross Margin (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ferguson Enterprises' Gross Margin was 31.05% through Mar 31, 2026, up 0.65 percentage points year-over-year; for FY2025, it came in at 30.67%, up 0.12 percentage points from FY2024.
- Gross Margin shows a three-year change of +0.02 percentage points (FY2022 to FY2025).
- In earlier years, Gross Margin was 30.55% in FY2024 (+0.20 pp), 30.35% in FY2023 (-0.30 pp) and 30.65% in FY2022.
- Quarterly Gross Margin has moved between 29.71% (Q2 2025) and 31.71% (Q4 2025) over five years.
- Compared with a year earlier, Gross Margin was higher in three of the last five quarters, with an average year-over-year change of +0.16 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 39.51% |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 44.56% |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 31.02% |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 40.10% |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 28.09% |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 21.85% |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 30.40% |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 27.50% |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 31.73% |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn | 26.71% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 31.02% |
| Oct 31, 2025 | 30.68% |
| Jul 31, 2025 | 31.71% |
| Mar 31, 2025 | 30.72% |
| Jan 31, 2025 | 29.71% |
| Oct 31, 2024 | 30.11% |
| Jul 31, 2024 | 30.97% |
| Apr 30, 2024 | 30.54% |
| Jan 31, 2024 | 30.41% |
| Oct 31, 2023 | 30.24% |
Ferguson Enterprises Gross Margin 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=gross-margin&ticker=FERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();