Boston Beer (SAM) Accumulated Expenses (2010 - 2026)
Boston Beer's Accumulated Expenses was $166.2 million in Q2 2026, up 18.8% from $139.86 million a year earlier but down 50.7% from the prior quarter.
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Analysis
Boston Beer (SAM) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Boston Beer came in at $144.8 million, up 4.5% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $138.62 million in FY2024 (+9.2%), $126.93 million in FY2023 (+14.2%), $111.15 million in FY2022 (-31.2%) and $161.55 million in FY2021 (+24.7%).
- Quarterly Accumulated Expenses has moved between $98.06 million (Q1 2023) and $336.81 million (Q1 2026) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 27.8% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2026 (growth of 183.1%); the worst was Q4 2022 (a decline of 31.2%).
- Per Business Quant data, SAM's Accumulated Expenses in the three quarters before Q2 2026 was $336.81 million (Q1 2026), $144.8 million (Q4 2025) and $137.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn |
| 10 | Boston Beer | 1.70 Bn | 800.93 Mn | 286.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 166.20 Mn |
| Mar 28, 2026 | 336.81 Mn |
| Dec 27, 2025 | 144.80 Mn |
| Sep 27, 2025 | 137.77 Mn |
| Jun 28, 2025 | 139.86 Mn |
| Mar 29, 2025 | 118.99 Mn |
| Dec 28, 2024 | 138.62 Mn |
| Sep 28, 2024 | 154.14 Mn |
| Jun 29, 2024 | 147.48 Mn |
| Mar 30, 2024 | 104.96 Mn |
| Dec 30, 2023 | 126.93 Mn |
| Sep 30, 2023 | 141.03 Mn |
| Jul 1, 2023 | 133.06 Mn |
| Apr 1, 2023 | 98.06 Mn |
| Dec 31, 2022 | 111.15 Mn |
| Sep 24, 2022 | 153.54 Mn |
| Jun 25, 2022 | 148.18 Mn |
| Mar 26, 2022 | 124.46 Mn |
| Dec 25, 2021 | 161.55 Mn |
| Sep 25, 2021 | 140.71 Mn |
API Access
Boston Beer Accumulated 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=accumulated-expenses&ticker=SAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();