Brown Forman (BF-A) Accumulated Expenses (2010 - 2026)
Brown Forman (BF-A) posted Accumulated Expenses of $581 million for fiscal Q4 2026 (quarter ended Apr 30, 2026), up 16.7% from $498 million a year earlier.
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Analysis
Brown Forman (BF-A) Accumulated Expenses (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Brown Forman has reported Accumulated Expenses for 17 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 2.8% (FY2021 to FY2026).
- In prior fiscal years, Brown Forman's Accumulated Expenses was $498 million in FY2025 (-5.3%), $526 million in FY2024 (+1.3%), $519 million in FY2023 (+7.0%) and $485 million in FY2022 (-4.3%).
- The fiscal Q4 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2010.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 581.00 Mn |
| Apr 30, 2025 | 498.00 Mn |
| Apr 30, 2024 | 526.00 Mn |
| Apr 30, 2023 | 519.00 Mn |
| Apr 30, 2022 | 485.00 Mn |
| Apr 30, 2021 | 507.00 Mn |
| Apr 30, 2020 | 386.00 Mn |
| Apr 30, 2019 | 394.00 Mn |
| Apr 30, 2018 | 427.00 Mn |
| Apr 30, 2017 | 364.00 Mn |
| Apr 30, 2016 | 380.00 Mn |
| Apr 30, 2015 | 374.00 Mn |
| Apr 30, 2014 | 340.00 Mn |
| Apr 30, 2013 | 318.00 Mn |
| Apr 30, 2012 | 266.00 Mn |
| Apr 30, 2011 | 286.00 Mn |
| Apr 30, 2010 | 245.00 Mn |
API Access
Brown Forman Accumulated 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=accumulated-expenses&ticker=BF-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BF-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();