Boston Beer (SAM) Total Non-Current Liabilities (2010 - 2026)
Boston Beer (SAM) recorded Total Non-Current Liabilities of $536.77 million in Q2 2026, up 52.6% from $351.69 million a year earlier and up 10.7% from the prior quarter.
Boston Beer (SAM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Boston Beer reported Total Non-Current Liabilities of $342.43 million, up 4.5% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $327.64 million in FY2024 (-5.1%), $345.17 million in FY2023 (-0.3%), $346.13 million in FY2022 (-12.7%) and $396.45 million in FY2021 (-3.6%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 52.6% in Q2 2026, against a decline of 13.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $485.01 million (Q1 2026), $342.43 million (Q4 2025) and $331.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn | 64.98 Bn |
| 2 | Diageo | 209.77 Bn | 202.17 Bn | - | -23.16 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 182.89 Bn | 182.89 Bn | 2.06 Bn | - |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn | 81.77 Bn |
| 5 | Anheuser-Busch InBev | 138.58 Bn | 107.33 Bn | 9.58 Bn | 391.00 Mn |
| 6 | Monster Beverage | 82.00 Bn | 70.25 Bn | 1.42 Bn | 1.87 Bn |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - | 16.28 Bn |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn | 1.92 Bn |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn | 384.00 Mn |
| 10 | Boston Beer | 1.72 Bn | 813.09 Mn | 286.37 Mn | 536.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 536.77 Mn |
| Mar 28, 2026 | 485.01 Mn |
| Dec 27, 2025 | 342.43 Mn |
| Sep 27, 2025 | 331.19 Mn |
| Jun 28, 2025 | 351.69 Mn |
| Mar 29, 2025 | 339.14 Mn |
| Dec 28, 2024 | 327.64 Mn |
| Sep 28, 2024 | 361.68 Mn |
| Jun 29, 2024 | 388.84 Mn |
| Mar 30, 2024 | 331.43 Mn |
| Dec 30, 2023 | 345.17 Mn |
| Sep 30, 2023 | 389.46 Mn |
| Jul 1, 2023 | 398.98 Mn |
| Apr 1, 2023 | 346.83 Mn |
| Dec 31, 2022 | 346.13 Mn |
| Sep 24, 2022 | 450.69 Mn |
| Jun 25, 2022 | 430.70 Mn |
| Mar 26, 2022 | 399.74 Mn |
| Dec 25, 2021 | 396.45 Mn |
| Sep 25, 2021 | 423.79 Mn |
Boston Beer Total Non-Current 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-non-current-liabilities&ticker=SAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();