Brown Forman (BF-B) Operating Expenses (2009 - 2026)
Brown Forman (BF-B) posted Operating Expenses of $185 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 2.1% from $189 million a year earlier and down 28.6% from the prior quarter.
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Analysis
Brown Forman (BF-B) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Brown Forman was $822 million, up 2.1% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $826 million, up 2.7% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- In prior fiscal years, Brown Forman's Operating Expenses was $804 million in FY2025 (-2.7%), $826 million in FY2024 (+11.3%), $742 million in FY2023 (+7.5%) and $690 million in FY2022 (+2.8%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Operating Expenses since fiscal Q2 2023.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 0.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2026, with growth of 17.7%; the weakest was fiscal Q3 2026, with a decline of 10.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $259 million (Q4 2026), $187 million (Q3 2026) and $191 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 209.77 Bn | 202.17 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.89 Bn | 182.89 Bn | 2.06 Bn | 1.49 Bn |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 138.58 Bn | 107.33 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 82.00 Bn | 70.25 Bn | 1.42 Bn | 679.19 Mn |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - | -1.63 Bn |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn | -263.15 Mn |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn | 2.40 Bn |
| 10 | Brown Forman | 11.94 Bn | 10.63 Bn | 549.00 Mn | 185.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 185.00 Mn |
| Apr 30, 2026 | 259.00 Mn |
| Jan 31, 2026 | 187.00 Mn |
| Oct 31, 2025 | 191.00 Mn |
| Jul 31, 2025 | 189.00 Mn |
| Apr 30, 2025 | 220.00 Mn |
| Jan 31, 2025 | 209.00 Mn |
| Oct 31, 2024 | 187.00 Mn |
| Jul 31, 2024 | 188.00 Mn |
| Apr 30, 2024 | 231.00 Mn |
| Jan 31, 2024 | 203.00 Mn |
| Oct 31, 2023 | 192.00 Mn |
| Jul 31, 2023 | 200.00 Mn |
| Apr 30, 2023 | 201.00 Mn |
| Jan 31, 2023 | 186.00 Mn |
| Oct 31, 2022 | 180.00 Mn |
| Jul 31, 2022 | 175.00 Mn |
| Apr 30, 2022 | 195.00 Mn |
| Jan 31, 2022 | 162.00 Mn |
| Oct 31, 2021 | 165.00 Mn |
API Access
Brown Forman 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=BF-B&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BF-B", "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=BF-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();