Ambev (ABEV) Operating Expenses (2012 - 2026)
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Analysis
Ambev (ABEV) Operating Expenses (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 412.59 Bn | 398.91 Bn | 8.45 Bn | 3.98 Bn |
| 2 | Diageo | 224.80 Bn | 204.87 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 197.26 Bn | 197.26 Bn | 2.15 Bn | 1.51 Bn |
| 4 | Pepsico | 193.72 Bn | 151.48 Bn | 13.75 Bn | 9.49 Bn |
| 5 | Monster Beverage | 89.30 Bn | 77.55 Bn | 1.42 Bn | 679.19 Mn |
| 6 | Coca-Cola Europacific Partners | 53.58 Bn | 46.24 Bn | - | 1.63 Bn |
| 7 | Keurig Dr Pepper | 50.27 Bn | 46.31 Bn | 3.07 Bn | 2.40 Bn |
| 8 | Ambev | 43.42 Bn | 28.22 Bn | 2.14 Bn | 281.32 Mn |
| 9 | Constellation Brands | 24.72 Bn | 24.27 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Brown Forman | 13.95 Bn | 12.63 Bn | 549.00 Mn | 185.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 281.32 Mn |
| Jun 30, 2026 | 263.15 Mn |
| Mar 31, 2026 | 277.45 Mn |
| Dec 31, 2025 | 295.42 Mn |
| Sep 30, 2025 | 248.69 Mn |
| Jun 30, 2025 | 251.94 Mn |
| Mar 31, 2025 | 254.07 Mn |
| Dec 31, 2024 | 324.82 Mn |
| Sep 30, 2024 | 275.92 Mn |
| Jun 30, 2024 | 279.07 Mn |
| Mar 31, 2024 | 269.44 Mn |
| Dec 31, 2023 | 278.86 Mn |
| Sep 30, 2023 | 260.67 Mn |
| Jun 30, 2023 | 265.65 Mn |
| Mar 31, 2023 | 251.42 Mn |
| Dec 31, 2022 | 276.42 Mn |
| Sep 30, 2022 | 250.88 Mn |
| Jun 30, 2022 | 264.26 Mn |
| Mar 31, 2022 | 224.53 Mn |
| Dec 31, 2021 | 248.11 Mn |
API Access
Ambev Operating 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=operating-expenses&ticker=ABEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ABEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();