Borealis Foods (BRLS) Accounts Payables (2023 - 2026)
Borealis Foods (BRLS) posted Accounts Payables of $17.36 million for Q1 2026, up 33.1% from $13.05 million a year earlier and up 8.2% from the prior quarter.
Borealis Foods (BRLS) Accounts Payables (2023 - 2026) Analysis & Trends
At the end of FY2025, Borealis Foods' Accounts Payables came in at $16.05 million, up 39.2% from FY2024.
- In prior years, Borealis Foods' Accounts Payables was $11.53 million in FY2024 (+5.9%) and $10.89 million in FY2023.
- The Q1 2026 figure stands as the highest quarterly Accounts Payables in data going back to Q4 2023.
- On a year-over-year basis, Accounts Payables has increased in each of the last six quarters, with growth averaging 54.2% over the last six quarters.
- According to Business Quant data, Accounts Payables for the three prior quarters was $16.05 million (Q4 2025), $14.03 million (Q3 2025) and $13.99 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 22.45 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 9.41 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 1.40 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 4.48 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 3.72 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 1.52 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 1.21 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 678.00 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 1.17 Bn |
| 10 | Borealis Foods | 27.47 Mn | 26.57 Mn | 838,891.00 | 17.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 17.36 Mn |
| Dec 31, 2025 | 16.05 Mn |
| Sep 30, 2025 | 14.03 Mn |
| Jun 30, 2025 | 13.99 Mn |
| Mar 31, 2025 | 13.05 Mn |
| Dec 31, 2024 | 11.53 Mn |
| Sep 30, 2024 | 8.60 Mn |
| Jun 30, 2024 | 6.86 Mn |
| Mar 31, 2024 | 7.24 Mn |
| Dec 31, 2023 | 10.89 Mn |
Borealis Foods Accounts Payables 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=accounts-payables&ticker=BRLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();