Brc (BRCC) Total Non-Current Liabilities (2020 - 2026)
Brc (BRCC) reported Total Non-Current Liabilities of $59.45 million for Q2 2026, down 44.7% from $107.5 million a year earlier and down 7.4% from the prior quarter.
Brc (BRCC) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Brc posted Total Non-Current Liabilities of $65.13 million, down 36.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 38.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $102.67 million in FY2024 (-2.4%), $105.16 million in FY2023 (+56.5%), $67.21 million in FY2022 (+188.8%) and $23.27 million in FY2021 (+80.5%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2022.
- Year over year, Total Non-Current Liabilities has now declined in each of the last four quarters, with an average decline of 14.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2023 (growth of 298.5%); the low point was Q1 2023 (a decline of 77.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $64.21 million (Q1 2026), $65.13 million (Q4 2025) and $66.86 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 | Brc | 226.10 Mn | 215.33 Mn | 36.48 Mn | 59.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.45 Mn |
| Mar 31, 2026 | 64.21 Mn |
| Dec 31, 2025 | 65.13 Mn |
| Sep 30, 2025 | 66.86 Mn |
| Jun 30, 2025 | 107.50 Mn |
| Mar 31, 2025 | 105.35 Mn |
| Dec 31, 2024 | 102.67 Mn |
| Sep 30, 2024 | 89.51 Mn |
| Jun 30, 2024 | 84.64 Mn |
| Mar 31, 2024 | 86.02 Mn |
| Dec 31, 2023 | 105.16 Mn |
| Sep 30, 2023 | 106.07 Mn |
| Jun 30, 2023 | 110.20 Mn |
| Mar 31, 2023 | 79.95 Mn |
| Dec 31, 2022 | 67.21 Mn |
| Sep 30, 2022 | 32.43 Mn |
| Jun 30, 2022 | 27.65 Mn |
| Mar 31, 2022 | 356.81 Mn |
| Dec 31, 2021 | 23.27 Mn |
| Dec 31, 2020 | 12.90 Mn |
Brc 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=BRCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BRCC", "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=BRCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();