Brown Forman (BF-B) Change in Accured Expenses (2018 - 2026)
Brown Forman's Change in Accured Expenses was -$82 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$46 million a year earlier.
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Analysis
Brown Forman (BF-B) Change in Accured Expenses (2018 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Change in Accured Expenses at Brown Forman came in at $36 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of -23.5% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was -$40 million in FY2025, -$31 million in FY2024, $77 million in FY2023 (+108.1%) and $37 million in FY2022 (-73.0%).
- The fiscal Q1 2027 figure marks the lowest quarterly Change in Accured Expenses since fiscal Q1 2025.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 92.9%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q4 2024 (growth of 245.5%); the worst was fiscal Q4 2023 (a decline of 84.1%).
- Per Business Quant data, BF-B's Change in Accured Expenses in the three fiscal quarters before Q1 2027 was -$41 million (Q4 2026), $14 million (Q3 2026) and $109 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 410.21 Bn | 398.84 Bn | 8.42 Bn | - |
| 2 | Coca Cola Femsa Sab De Cv | 198.20 Bn | 198.20 Bn | 2.06 Bn | - |
| 3 | Pepsico | 189.19 Bn | 147.15 Bn | 13.75 Bn | 842.00 Mn |
| 4 | Monster Beverage | 92.66 Bn | 80.91 Bn | 1.42 Bn | -114.13 Mn |
| 5 | Diageo | 58.78 Bn | 40.93 Bn | - | - |
| 6 | Ambev | 52.64 Bn | 38.05 Bn | 2.06 Bn | - |
| 7 | Coca-Cola Europacific Partners | 51.30 Bn | 44.52 Bn | - | - |
| 8 | Keurig Dr Pepper | 47.89 Bn | 48.12 Bn | 3.07 Bn | 41.00 Mn |
| 9 | Constellation Brands | 23.52 Bn | 23.07 Bn | 1.39 Bn | -190.70 Mn |
| 10 | Brown Forman | 13.83 Bn | 12.52 Bn | 549.00 Mn | -82.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -82.00 Mn |
| Apr 30, 2026 | -41.00 Mn |
| Jan 31, 2026 | 14.00 Mn |
| Oct 31, 2025 | 109.00 Mn |
| Jul 31, 2025 | -46.00 Mn |
| Apr 30, 2025 | 24.00 Mn |
| Jan 31, 2025 | 6.00 Mn |
| Oct 31, 2024 | 34.00 Mn |
| Jul 31, 2024 | -104.00 Mn |
| Apr 30, 2024 | 38.00 Mn |
| Jan 31, 2024 | -38.00 Mn |
| Oct 31, 2023 | 22.00 Mn |
| Jul 31, 2023 | -53.00 Mn |
| Apr 30, 2023 | 11.00 Mn |
| Jan 31, 2023 | 21.00 Mn |
| Oct 31, 2022 | 94.00 Mn |
| Jul 31, 2022 | -49.00 Mn |
| Apr 30, 2022 | 69.00 Mn |
| Jan 31, 2022 | -75.00 Mn |
| Oct 31, 2021 | 79.00 Mn |
API Access
Brown Forman Change in Accured 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=change-in-accured-expenses&ticker=BF-B&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BF-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();