Ambev (ABEV) Selling, General & Administrative (2012 - 2026)
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Analysis
Ambev (ABEV) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 411.82 Bn | 400.30 Bn | 8.45 Bn | 3.98 Bn |
| 2 | Diageo | 243.85 Bn | 226.00 Bn | - | - |
| 3 | Pepsico | 194.48 Bn | 152.43 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Coca Cola Femsa Sab De Cv | 192.50 Bn | 192.50 Bn | 2.15 Bn | - |
| 5 | Monster Beverage | 93.70 Bn | 81.95 Bn | 1.42 Bn | - |
| 6 | Coca-Cola Europacific Partners | 52.67 Bn | 45.89 Bn | - | 1.63 Bn |
| 7 | Keurig Dr Pepper | 50.20 Bn | 50.44 Bn | 3.07 Bn | 2.40 Bn |
| 8 | Ambev | 44.13 Bn | 29.04 Bn | 2.14 Bn | 281.32 Mn |
| 9 | Constellation Brands | 24.46 Bn | 24.01 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Brown Forman | 14.21 Bn | 12.90 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 Selling, General & Administrative 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=selling-general-and-administrative&ticker=ABEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ABEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();