Boston Beer (SAM) Other Operating Expenses (2010 - 2026)
Boston Beer's Other Operating Expenses came in at $166.73 million for Q2 2026, up 1.2% from $164.7 million a year earlier but down 21.4% from the prior quarter.
Boston Beer (SAM) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Boston Beer reported Other Operating Expenses of $693.44 million, up 4.8% year-over-year; for FY2025, it was $616.91 million, down 1.7% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $627.85 million in FY2024 (+8.7%), $577.82 million in FY2023 (-5.8%), $613.66 million in FY2022 (-6.5%) and $656.17 million in FY2021 (+45.2%).
- The five-year range for quarterly Other Operating Expenses is $120.61 million (Q1 2024) to $216.4 million (Q3 2021).
- Year-over-year, Other Operating Expenses increased in six of the last eight quarters, with growth averaging 12.2%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2021 (growth of 99.5%), and the weakest in Q3 2022 (a decline of 15.9%).
- Business Quant data shows SAM's Other Operating Expenses at $212.04 million (Q1 2026), $148.52 million (Q4 2025) and $166.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 373.72 Bn | 362.36 Bn | 8.42 Bn |
| 2 | Diageo | 207.56 Bn | 199.96 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.40 Bn | 182.40 Bn | 2.06 Bn |
| 4 | Pepsico | 175.65 Bn | 136.08 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 133.55 Bn | 102.29 Bn | 9.58 Bn |
| 6 | Monster Beverage | 81.77 Bn | 70.02 Bn | 1.42 Bn |
| 7 | Coca-Cola Europacific Partners | 45.94 Bn | 39.18 Bn | - |
| 8 | Ambev | 45.55 Bn | 31.57 Bn | 2.06 Bn |
| 9 | Keurig Dr Pepper | 42.22 Bn | 42.46 Bn | 3.07 Bn |
| 10 | Boston Beer | 1.69 Bn | 784.42 Mn | 286.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 166.73 Mn |
| Mar 28, 2026 | 212.04 Mn |
| Dec 27, 2025 | 148.52 Mn |
| Sep 27, 2025 | 166.16 Mn |
| Jun 28, 2025 | 164.70 Mn |
| Mar 29, 2025 | 137.54 Mn |
| Dec 28, 2024 | 169.03 Mn |
| Sep 28, 2024 | 190.59 Mn |
| Jun 29, 2024 | 147.62 Mn |
| Mar 30, 2024 | 120.61 Mn |
| Dec 30, 2023 | 130.11 Mn |
| Sep 30, 2023 | 170.91 Mn |
| Jul 1, 2023 | 150.89 Mn |
| Apr 1, 2023 | 125.91 Mn |
| Dec 31, 2022 | 140.71 Mn |
| Sep 24, 2022 | 182.00 Mn |
| Jun 25, 2022 | 155.54 Mn |
| Mar 26, 2022 | 135.41 Mn |
| Dec 25, 2021 | 136.06 Mn |
| Sep 25, 2021 | 216.40 Mn |
Boston Beer Other 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=other-operating-expenses&ticker=SAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "SAM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=SAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();