Brown Forman (BF-A) Exchange Rate Effect (2009 - 2026)
Brown Forman's Exchange Rate Effect was -$3 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with $3 million a year earlier.
Brown Forman (BF-A) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Brown Forman's Exchange Rate Effect was $3 million through Jul 31, 2026, down 75.0% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $9 million, up 200.0% from FY2025.
- Exchange Rate Effect shows a five-year compound annual growth rate of -27.5% (FY2021 to FY2026).
- In earlier fiscal years, Exchange Rate Effect was $3 million in FY2025, -$6 million in FY2024, -$14 million in FY2023 and -$47 million in FY2022.
- Quarterly Exchange Rate Effect has moved between -$23 million (fiscal Q2 2023) and $23 million (fiscal Q4 2025) over five years.
- Per Business Quant data, BF-A's Exchange Rate Effect in the three fiscal quarters before Q1 2027 was -$6 million (Q4 2026), $10 million (Q3 2026) and $2 million (Q2 2026).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -3.00 Mn |
| Apr 30, 2026 | -6.00 Mn |
| Jan 31, 2026 | 10.00 Mn |
| Oct 31, 2025 | 2.00 Mn |
| Jul 31, 2025 | 3.00 Mn |
| Apr 30, 2025 | 23.00 Mn |
| Jan 31, 2025 | -11.00 Mn |
| Oct 31, 2024 | -3.00 Mn |
| Jul 31, 2024 | -6.00 Mn |
| Apr 30, 2024 | -8.00 Mn |
| Jan 31, 2024 | 9.00 Mn |
| Oct 31, 2023 | -15.00 Mn |
| Jul 31, 2023 | 8.00 Mn |
| Apr 30, 2023 | 1.00 Mn |
| Jan 31, 2023 | 22.00 Mn |
| Oct 31, 2022 | -23.00 Mn |
| Jul 31, 2022 | -14.00 Mn |
| Apr 30, 2022 | -19.00 Mn |
| Jan 31, 2022 | -13.00 Mn |
| Oct 31, 2021 | -8.00 Mn |
Brown Forman 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=BF-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "BF-A", "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=BF-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();