Ferguson Enterprises (FERG) Operating Expenses (2023 - 2026)
Ferguson Enterprises' (FERG) quarterly Operating Expenses came in at $1.6 billion in Q1 2026, little changed year-over-year from $1.6 billion in Q1 2025, and down 1.95% quarter-over-quarter from $1.6 billion in Q4 2025.
Ferguson Enterprises (FERG) Operating Expenses (2023 - 2026) Analysis & Trends
Ferguson Enterprises (FERG) has reported Operating Expenses for 4 consecutive years, with $1.6 billion the latest figure, recorded in Q1 2026.
- On a quarterly basis, Operating Expenses changed 0.43% year-over-year to $1.6 billion in Q1 2026; TTM through Mar 2026 was $6.5 billion, a 3.71% increase from a year earlier, with the FY2025 full-year figure at $6.6 billion, up 6.66% from the prior year.
- Operating Expenses was $1.6 billion for Q1 2026 at Ferguson Enterprises, down from $1.6 billion in the prior quarter.
- Over five years, Operating Expenses peaked at $1.7 billion in Q3 2025 and troughed at $1.5 billion in Q1 2024.
- A 4-year average of $1.6 billion and a median of $1.6 billion in 2024 frame the typical range for Operating Expenses.
- Across the five-year window, Operating Expenses climbed 6.97% in 2025 and slipped 0.43% in 2026, its largest moves.
- Over 4 years, Operating Expenses stood at $1.5 billion in 2023, then gained by 4.83% to $1.6 billion in 2024, then increased by 3.53% to $1.6 billion in 2025, then retreated by 1.95% to $1.6 billion in 2026.
- The last three Operating Expenses figures came in at $1.6 billion (Q1 2026), $1.6 billion (Q4 2025), and $1.7 billion (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.74 Bn | 59.53 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 57.47 Bn | 57.26 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 42.93 Bn | 42.11 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 31.01 Bn | 30.98 Bn | 1.25 Bn | 989.00 Mn |
| 5 | Reliance | 19.76 Bn | 19.53 Bn | 1.30 Bn | 4.19 Bn |
| 6 | Wesco International | 17.65 Bn | 16.83 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.14 Bn | 12.02 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 11.58 Bn | 11.60 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.11 Bn | 9.80 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Core & Main | 7.93 Bn | 7.69 Bn | 573.00 Mn | 346.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.61 Bn |
| Oct 31, 2025 | 1.64 Bn |
| Jul 31, 2025 | 1.67 Bn |
| Mar 31, 2025 | 1.62 Bn |
| Jan 31, 2025 | 1.54 Bn |
| Oct 31, 2024 | 1.59 Bn |
| Jul 31, 2024 | 1.56 Bn |
| Apr 30, 2024 | 1.52 Bn |
| Jan 31, 2024 | 1.47 Bn |
| Oct 31, 2023 | 1.51 Bn |
Ferguson Enterprises Operating Expenses 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=operating-expenses&ticker=FERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();