Brown Forman (BF-B) Total Liabilities (2010 - 2026)
Brown Forman (BF-B) posted Total Liabilities of $3.86 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 7.8% from $4.18 billion a year earlier and down 0.5% from the prior quarter.
Brown Forman (BF-B) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Brown Forman's Total Liabilities came in at $3.87 billion, down 5.4% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- In prior fiscal years, Brown Forman's Total Liabilities was $4.09 billion in FY2025 (-12.0%), $4.65 billion in FY2024 (+3.1%), $4.51 billion in FY2023 (+24.0%) and $3.64 billion in FY2022 (-5.9%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Total Liabilities since fiscal Q2 2023.
- On a year-over-year basis, Total Liabilities has declined in each of the last nine quarters, with an average decline of 8.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2024, with growth of 27.8%; the weakest was fiscal Q3 2025, with a decline of 14.9%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $3.87 billion (Q4 2026), $4.22 billion (Q3 2026) and $4.09 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 401.84 Bn | 388.31 Bn | 8.42 Bn | 69.61 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.29 Bn | 198.29 Bn | 2.06 Bn | - |
| 3 | Pepsico | 182.79 Bn | 140.55 Bn | 13.75 Bn | 89.49 Bn |
| 4 | Monster Beverage | 92.06 Bn | 80.31 Bn | 1.42 Bn | 2.02 Bn |
| 5 | Diageo | 51.95 Bn | 32.02 Bn | - | 33.89 Bn |
| 6 | Ambev | 51.85 Bn | 37.14 Bn | 2.06 Bn | 9.52 Bn |
| 7 | Coca-Cola Europacific Partners | 51.70 Bn | 44.37 Bn | - | 25.89 Bn |
| 8 | Keurig Dr Pepper | 47.08 Bn | 43.13 Bn | 3.07 Bn | 58.39 Bn |
| 9 | Constellation Brands | 22.57 Bn | 22.12 Bn | 1.39 Bn | 13.18 Bn |
| 10 | Brown Forman | 12.86 Bn | 11.55 Bn | 549.00 Mn | 3.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.86 Bn |
| Apr 30, 2026 | 3.87 Bn |
| Jan 31, 2026 | 4.22 Bn |
| Oct 31, 2025 | 4.09 Bn |
| Jul 31, 2025 | 4.18 Bn |
| Apr 30, 2025 | 4.09 Bn |
| Jan 31, 2025 | 4.25 Bn |
| Oct 31, 2024 | 4.63 Bn |
| Jul 31, 2024 | 4.74 Bn |
| Apr 30, 2024 | 4.65 Bn |
| Jan 31, 2024 | 4.99 Bn |
| Oct 31, 2023 | 4.66 Bn |
| Jul 31, 2023 | 4.75 Bn |
| Apr 30, 2023 | 4.51 Bn |
| Jan 31, 2023 | 4.72 Bn |
| Oct 31, 2022 | 3.81 Bn |
| Jul 31, 2022 | 3.71 Bn |
| Apr 30, 2022 | 3.64 Bn |
| Jan 31, 2022 | 3.71 Bn |
| Oct 31, 2021 | 3.69 Bn |
Brown Forman Total Liabilities 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=total-liabilities&ticker=BF-B&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BF-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();