Brown Forman (BF-B) Asset Writedowns and Impairment (2010 - 2024)
Brown Forman (BF-B) recorded Asset Writedowns and Impairment of $132 million in FY2026 (year ended Apr 30, 2026), up 180.9% from $47 million in FY2025.
Brown Forman (BF-B) Asset Writedowns and Impairment (2010 - 2024) Analysis & Trends
Starting with FY2009, Brown Forman's Asset Writedowns and Impairment history includes 8 fiscal years.
- Annual Asset Writedowns and Impairment has a four-year compound annual growth rate of 21.3% (FY2022 to FY2026).
- The FY2026 figure is the highest annual Asset Writedowns and Impairment in data going back to FY2009.
- Per Business Quant data, BF-B's Asset Writedowns and Impairment was $47 million in FY2025 (+571.4%), $7 million in FY2024 (-92.7%), $96 million in FY2023 (+57.4%) and $61 million in FY2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn |
| 10 | Brown Forman | 12.02 Bn | 10.71 Bn | 549.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2024 | 7.00 Mn |
| Jan 31, 2023 | 96.00 Mn |
| Apr 30, 2022 | 52.00 Mn |
| Oct 31, 2021 | 3.00 Mn |
| Jul 31, 2021 | 6.00 Mn |
| Apr 30, 2010 | 400,000.00 |
Brown Forman Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=BF-B&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=BF-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();