Ambev (ABEV) Restructuring Costs (2012 - 2020)
Ambev (ABEV) posted Restructuring Costs of -$38.52 million for FY2025, compared with -$18.53 million in FY2024.
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Analysis
Ambev (ABEV) Restructuring Costs (2012 - 2020) Analysis & Trends
Since FY2011, Ambev has reported Restructuring Costs for 13 years.
- The FY2025 figure stands as the lowest annual Restructuring Costs since FY2018.
- Business Quant data shows ABEV's Restructuring Costs at -$18.53 million in FY2024, -$21.92 million in FY2023, -$19.74 million in FY2022 and -$30.72 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 413.22 Bn | 399.53 Bn | 8.45 Bn |
| 2 | Diageo | 224.45 Bn | 204.52 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 196.49 Bn | 189.17 Bn | - |
| 4 | Pepsico | 192.84 Bn | 150.60 Bn | 13.75 Bn |
| 5 | Anheuser-Busch InBev | 148.28 Bn | 110.64 Bn | - |
| 6 | Monster Beverage | 88.63 Bn | 76.88 Bn | 1.42 Bn |
| 7 | Coca-Cola Europacific Partners | 53.10 Bn | 46.73 Bn | - |
| 8 | Keurig Dr Pepper | 50.04 Bn | 46.09 Bn | 3.07 Bn |
| 9 | Ambev | 43.10 Bn | 28.94 Bn | - |
| 10 | Constellation Brands | 24.59 Bn | 24.14 Bn | 1.39 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -9.79 Mn |
| Sep 30, 2020 | -8.12 Mn |
| Jun 30, 2020 | -6.76 Mn |
| Mar 31, 2020 | -3.15 Mn |
| Sep 30, 2019 | -3.31 Mn |
| Jun 30, 2019 | -8.38 Mn |
| Mar 31, 2019 | -4.84 Mn |
| Jun 30, 2015 | -3.18 Mn |
| Mar 31, 2015 | -2.75 Mn |
| Dec 31, 2014 | -9.09 Mn |
| Sep 30, 2014 | -2,685.29 |
| Jun 30, 2014 | -3.21 Mn |
| Mar 31, 2014 | -2.78 Mn |
| Dec 31, 2013 | -7.05 Mn |
| Sep 30, 2013 | -2.43 Mn |
| Jun 30, 2013 | -2.56 Mn |
| Mar 31, 2013 | -488,916.01 |
| Dec 31, 2012 | -6.81 Mn |
| Sep 30, 2012 | -4.76 Mn |
| Jun 30, 2012 | -13.70 Mn |
API Access
Ambev Restructuring Costs 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=restructuring-costs&ticker=ABEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ABEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();