Ambev (ABEV) Finished Goods (2016 - 2025)
Ambev (ABEV) recorded Finished Goods of $587.73 million in Q4 2025, down 7.0% from $631.8 million a year earlier.
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Analysis
Ambev (ABEV) Finished Goods (2016 - 2025) Analysis & Trends
Starting with Q4 2016, Ambev's Finished Goods history includes 10 quarters.
- Annual Finished Goods has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Across earlier years, Finished Goods came in at $631.8 million in FY2024 (+2.5%), $616.53 million in FY2023 (-20.4%), $774.7 million in FY2022 (+19.0%) and $651.09 million in FY2021 (+31.2%).
- The Q4 2025 figure is the lowest quarterly Finished Goods since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 415.05 Bn | 401.36 Bn | 8.45 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 195.63 Bn | 195.63 Bn | 2.15 Bn |
| 3 | Pepsico | 194.97 Bn | 152.73 Bn | 13.75 Bn |
| 4 | Monster Beverage | 95.69 Bn | 83.94 Bn | 1.42 Bn |
| 5 | Diageo | 54.44 Bn | 34.51 Bn | - |
| 6 | Coca-Cola Europacific Partners | 53.15 Bn | 45.82 Bn | - |
| 7 | Keurig Dr Pepper | 50.27 Bn | 46.32 Bn | 3.07 Bn |
| 8 | Ambev | 43.18 Bn | 27.99 Bn | 2.14 Bn |
| 9 | Constellation Brands | 25.00 Bn | 24.55 Bn | 1.39 Bn |
| 10 | Brown Forman | 14.15 Bn | 12.83 Bn | 549.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 587.73 Mn |
| Dec 31, 2024 | 631.80 Mn |
| Dec 31, 2023 | 616.53 Mn |
| Dec 31, 2022 | 774.70 Mn |
| Dec 31, 2021 | 651.09 Mn |
| Dec 31, 2020 | 496.16 Mn |
| Dec 31, 2019 | 518.14 Mn |
| Dec 31, 2018 | 435.70 Mn |
| Dec 31, 2017 | 461.60 Mn |
| Dec 31, 2016 | 444.45 Mn |
API Access
Ambev Finished Goods 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=finished-goods&ticker=ABEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "ABEV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=ABEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();