Anheuser-Busch InBev SA/NV (BUD) Operating Expenses (2015 - 2026)
Anheuser-Busch InBev's Operating Expenses came in at $2.35 billion for Q2 2026, up 21.8% from $1.93 billion a year earlier.
Anheuser-Busch InBev SA/NV (BUD) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Anheuser-Busch InBev reported Operating Expenses of -$4.8 billion; for FY2025, it was -$4.67 billion.
- Going back by year, Operating Expenses was -$4.98 billion in FY2024, -$4.74 billion in FY2023, -$4.41 billion in FY2022 and -$4.41 billion in FY2021.
- The five-year range for quarterly Operating Expenses is -$11.29 billion (Q3 2023) to $8.9 billion (Q4 2023).
- Year-over-year, Operating Expenses increased in two of the last four quarters, with growth averaging 4.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 21.8%), and the weakest in Q2 2024 (a decline of 3.8%).
- Business Quant data shows BUD's Operating Expenses at -$4.74 billion (Q1 2026), $8.68 billion (Q4 2025) and -$11.09 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.35 Bn |
| Mar 31, 2026 | -4.74 Bn |
| Dec 31, 2025 | 8.68 Bn |
| Sep 30, 2025 | -11.09 Bn |
| Jun 30, 2025 | 1.93 Bn |
| Mar 31, 2025 | -4.19 Bn |
| Dec 31, 2024 | 8.76 Bn |
| Sep 30, 2024 | -11.22 Bn |
| Jun 30, 2024 | 1.92 Bn |
| Mar 31, 2024 | -4.44 Bn |
| Dec 31, 2023 | 8.90 Bn |
| Sep 30, 2023 | -11.29 Bn |
| Jun 30, 2023 | 1.99 Bn |
| Mar 31, 2023 | -4.34 Bn |
| Dec 31, 2022 | 8.55 Bn |
| Sep 30, 2022 | -10.73 Bn |
| Jun 30, 2022 | 1.88 Bn |
| Mar 31, 2022 | -4.12 Bn |
| Dec 31, 2021 | 8.56 Bn |
| Sep 30, 2021 | -10.70 Bn |
Anheuser-Busch InBev SA/NV 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_KEY
import 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();