Brown Forman (BF-B) Total Non-Current Liabilities (2010 - 2026)
Brown Forman (BF-B) posted Total Non-Current Liabilities of $3.67 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 8.0% from $3.99 billion a year earlier and down 0.7% from the prior quarter.
Brown Forman (BF-B) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Brown Forman's Total Non-Current Liabilities came in at $3.69 billion, down 5.4% from FY2025.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.2% (FY2021 to FY2026).
- In prior fiscal years, Brown Forman's Total Non-Current Liabilities was $3.91 billion in FY2025 (-11.3%), $4.41 billion in FY2024 (+3.5%), $4.26 billion in FY2023 (+23.2%) and $3.46 billion in FY2022 (-5.6%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2023.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q1 2024, with growth of 27.3%; the weakest was fiscal Q3 2025, with a decline of 15.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $3.69 billion (Q4 2026), $4.01 billion (Q3 2026) and $3.88 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 373.72 Bn | 362.36 Bn | 8.42 Bn | 64.98 Bn |
| 2 | Diageo | 207.56 Bn | 199.96 Bn | - | -23.16 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 182.40 Bn | 182.40 Bn | 2.06 Bn | - |
| 4 | Pepsico | 175.65 Bn | 136.08 Bn | 13.11 Bn | 81.77 Bn |
| 5 | Anheuser-Busch InBev | 133.55 Bn | 102.29 Bn | 9.58 Bn | 391.00 Mn |
| 6 | Monster Beverage | 81.77 Bn | 70.02 Bn | 1.42 Bn | 1.87 Bn |
| 7 | Coca-Cola Europacific Partners | 45.94 Bn | 39.18 Bn | - | 16.28 Bn |
| 8 | Ambev | 45.55 Bn | 31.57 Bn | 2.06 Bn | 1.92 Bn |
| 9 | Keurig Dr Pepper | 42.22 Bn | 42.46 Bn | 3.07 Bn | 384.00 Mn |
| 10 | Brown Forman | 12.08 Bn | 10.77 Bn | 549.00 Mn | 3.67 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.67 Bn |
| Apr 30, 2026 | 3.69 Bn |
| Jan 31, 2026 | 4.01 Bn |
| Oct 31, 2025 | 3.88 Bn |
| Jul 31, 2025 | 3.99 Bn |
| Apr 30, 2025 | 3.91 Bn |
| Jan 31, 2025 | 4.02 Bn |
| Oct 31, 2024 | 4.39 Bn |
| Jul 31, 2024 | 4.49 Bn |
| Apr 30, 2024 | 4.41 Bn |
| Jan 31, 2024 | 4.75 Bn |
| Oct 31, 2023 | 4.42 Bn |
| Jul 31, 2023 | 4.49 Bn |
| Apr 30, 2023 | 4.26 Bn |
| Jan 31, 2023 | 4.47 Bn |
| Oct 31, 2022 | 3.63 Bn |
| Jul 31, 2022 | 3.53 Bn |
| Apr 30, 2022 | 3.46 Bn |
| Jan 31, 2022 | 3.52 Bn |
| Oct 31, 2021 | 3.50 Bn |
Brown Forman Total Non-Current 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-non-current-liabilities&ticker=BF-B&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=BF-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();