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 | 68.95 Bn | 66.71 Bn | 2.01 Bn | 5.00 Mn |
| 2 | United Rentals | 68.54 Bn | 67.66 Bn | 2.05 Bn | - |
| 3 | Fastenal | 62.92 Bn | 61.91 Bn | 1.10 Bn | -1.00 Mn |
| 4 | Ferguson Enterprises | 50.34 Bn | 47.55 Bn | 2.32 Bn | -2.00 Mn |
| 5 | Sunbelt Rentals Holdings | 33.33 Bn | 33.21 Bn | 1.25 Bn | - |
| 6 | Reliance | 21.77 Bn | 20.83 Bn | 1.45 Bn | 2.20 Mn |
| 7 | Wesco International | 15.42 Bn | 12.47 Bn | 1.57 Bn | -4.40 Mn |
| 8 | Watsco | 11.20 Bn | 9.27 Bn | 586.29 Mn | 528,000.00 |
| 9 | Applied Industrial Technologies | 10.92 Bn | 10.80 Bn | 392.21 Mn | -558,000.00 |
| 10 | Avantor | 10.55 Bn | 9.13 Bn | 534.80 Mn | -900,000.00 |
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();