Anheuser-Busch InBev (BUD) Operating Expenses (2015 - 2026)
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Analysis
Anheuser-Busch InBev (BUD) Operating Expenses (2015 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.48 Bn |
| Jun 30, 2026 | -1.32 Bn |
| Mar 31, 2026 | 4.74 Bn |
| Dec 31, 2025 | -7.26 Bn |
| Sep 30, 2025 | 10.38 Bn |
| Jun 30, 2025 | -1.22 Bn |
| Mar 31, 2025 | 4.19 Bn |
| Dec 31, 2024 | -7.54 Bn |
| Sep 30, 2024 | 10.58 Bn |
| Jun 30, 2024 | -1.28 Bn |
| Mar 31, 2024 | 4.44 Bn |
| Dec 31, 2023 | -7.36 Bn |
| Sep 30, 2023 | 10.45 Bn |
| Jun 30, 2023 | -1.16 Bn |
| Mar 31, 2023 | 4.34 Bn |
| Dec 31, 2022 | -6.57 Bn |
| Sep 30, 2022 | 9.89 Bn |
| Jun 30, 2022 | -1.04 Bn |
| Mar 31, 2022 | 4.12 Bn |
| Dec 31, 2021 | -7.06 Bn |
API Access
Anheuser-Busch InBev 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=BUD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BUD", "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=BUD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();