Borealis Foods (BRLS) Total Liabilities (2021 - 2026)
Borealis Foods (BRLS) reported Total Liabilities of $73.65 million for Q1 2026, up 16.5% from $63.22 million a year earlier and up 2.6% from the prior quarter.
Powered by 
Analysis
Borealis Foods (BRLS) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Borealis Foods posted Total Liabilities of $71.8 million, up 18.3% from FY2024.
- Total Liabilities has a four-year compound annual growth rate of -20.1% (FY2021 to FY2025).
- By year, Total Liabilities came in at $60.7 million in FY2024 (-30.3%), $87.13 million in FY2023 (-50.2%), $174.81 million in FY2022 (-0.8%) and $176.19 million in FY2021.
- The Q1 2026 figure ranks as the highest quarterly Total Liabilities since Q4 2023.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 24.9% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2024 (growth of 146.5%); the low point was Q1 2023 (a decline of 87.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $71.8 million (Q4 2025), $69.25 million (Q3 2025) and $66.45 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 22.81 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 8.90 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 10.45 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Borealis Foods | 27.47 Mn | 26.57 Mn | 838,891.00 | 73.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 73.65 Mn |
| Dec 31, 2025 | 71.80 Mn |
| Sep 30, 2025 | 69.25 Mn |
| Jun 30, 2025 | 66.45 Mn |
| Mar 31, 2025 | 63.22 Mn |
| Dec 31, 2024 | 60.70 Mn |
| Sep 30, 2024 | 56.84 Mn |
| Jun 30, 2024 | 53.69 Mn |
| Mar 31, 2024 | 54.13 Mn |
| Dec 31, 2023 | 87.13 Mn |
| Sep 30, 2023 | 36.40 Mn |
| Jun 30, 2023 | 30.44 Mn |
| Mar 31, 2023 | 21.96 Mn |
| Dec 31, 2022 | 174.81 Mn |
| Sep 30, 2022 | 178.59 Mn |
| Jun 30, 2022 | 177.00 Mn |
| Mar 31, 2022 | 176.51 Mn |
| Dec 31, 2021 | 176.19 Mn |
| Sep 30, 2021 | 176.02 Mn |
API Access
Borealis Foods 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=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BRLS", "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=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();