Ferguson Enterprises (FERG) Exchange Rate Effect (2023 - 2026)
Ferguson Enterprises' Exchange Rate Effect came in at -$2 million for Q3 2026, compared with $9 million a year earlier.
Ferguson Enterprises (FERG) Exchange Rate Effect (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Ferguson Enterprises reported Exchange Rate Effect of $5 million; for FY2025, it came in at $3 million.
- Going back by year, Exchange Rate Effect was -$3 million in FY2024, $22 million in FY2023 and -$40 million in FY2022.
- The five-year range for quarterly Exchange Rate Effect is -$11 million (Q2 2025) to $9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | -6.00 Mn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 500,000.00 |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | -2.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | - |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | -100,000.00 |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 400,000.00 |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 88,000.00 |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | -1.19 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | -1.00 Mn |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -2.00 Mn |
| Oct 31, 2025 | -2.00 Mn |
| Mar 31, 2025 | 9.00 Mn |
| Jan 31, 2025 | -11.00 Mn |
| Oct 31, 2024 | -3.00 Mn |
| Jul 31, 2024 | 5.00 Mn |
| Apr 30, 2024 | -8.00 Mn |
| Jan 31, 2024 | 9.00 Mn |
| Oct 31, 2023 | -9.00 Mn |
Ferguson Enterprises Exchange Rate Effect 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=exchange-rate-effect&ticker=FERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();