Boston Beer (SAM) Total Liabilities (2010 - 2026)
Boston Beer's Total Liabilities came in at $540.52 million for Q2 2026, up 51.9% from $355.87 million a year earlier and up 10.7% from the prior quarter.
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Analysis
Boston Beer (SAM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Boston Beer's Total Liabilities was $347.32 million, up 4.0% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $333.83 million in FY2024 (-5.2%), $352.06 million in FY2023 (unchanged), $352.22 million in FY2022 (-12.7%) and $403.38 million in FY2021 (-4.4%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 8.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 51.9%), and the weakest in Q1 2023 (a decline of 13.3%).
- Business Quant data shows SAM's Total Liabilities at $488.46 million (Q1 2026), $347.32 million (Q4 2025) and $335.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 401.84 Bn | 388.31 Bn | 8.42 Bn | 69.61 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.29 Bn | 198.29 Bn | 2.06 Bn | - |
| 3 | Pepsico | 182.79 Bn | 140.55 Bn | 13.75 Bn | 89.49 Bn |
| 4 | Monster Beverage | 92.06 Bn | 80.31 Bn | 1.42 Bn | 2.02 Bn |
| 5 | Diageo | 51.95 Bn | 32.02 Bn | - | 33.89 Bn |
| 6 | Ambev | 51.85 Bn | 37.14 Bn | 2.06 Bn | 9.52 Bn |
| 7 | Coca-Cola Europacific Partners | 51.70 Bn | 44.37 Bn | - | 25.89 Bn |
| 8 | Keurig Dr Pepper | 47.08 Bn | 43.13 Bn | 3.07 Bn | 58.39 Bn |
| 9 | Constellation Brands | 22.57 Bn | 22.12 Bn | 1.39 Bn | 13.18 Bn |
| 10 | Boston Beer | 1.92 Bn | 1.02 Bn | 286.37 Mn | 540.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 540.52 Mn |
| Mar 28, 2026 | 488.46 Mn |
| Dec 27, 2025 | 347.32 Mn |
| Sep 27, 2025 | 335.62 Mn |
| Jun 28, 2025 | 355.87 Mn |
| Mar 29, 2025 | 343.21 Mn |
| Dec 28, 2024 | 333.83 Mn |
| Sep 28, 2024 | 367.84 Mn |
| Jun 29, 2024 | 394.91 Mn |
| Mar 30, 2024 | 337.46 Mn |
| Dec 30, 2023 | 352.06 Mn |
| Sep 30, 2023 | 396.11 Mn |
| Jul 1, 2023 | 405.36 Mn |
| Apr 1, 2023 | 351.15 Mn |
| Dec 31, 2022 | 352.22 Mn |
| Sep 24, 2022 | 456.71 Mn |
| Jun 25, 2022 | 436.43 Mn |
| Mar 26, 2022 | 405.07 Mn |
| Dec 25, 2021 | 403.38 Mn |
| Sep 25, 2021 | 434.15 Mn |
API Access
Boston Beer Total Liabilities 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=total-liabilities&ticker=SAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();