Borealis Foods (BRLS) Change in Receivables (2023 - 2026)
Borealis Foods' Change in Receivables came in at -$872,663 for Q1 2026, compared with -$234,308 a year earlier.
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Analysis
Borealis Foods (BRLS) Change in Receivables (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Borealis Foods reported Change in Receivables of $26,473; for FY2025, it was $664,828, up 211.8% from FY2024.
- Going back by year, Change in Receivables was $213,212 in FY2024 and -$705,951 in FY2023.
- The Q1 2026 figure represents the lowest quarterly Change in Receivables since Q4 2024.
- Business Quant data shows BRLS's Change in Receivables at -$233,405 (Q4 2025), $254,882 (Q3 2025) and $877,659 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | -304.00 Mn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | -69.90 Mn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | -12.00 Mn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 58.50 Mn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | -40.10 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 119.20 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | -22.14 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | -200,000.00 |
| 10 | Borealis Foods | 25.07 Mn | 24.17 Mn | 838,891.00 | -872,663.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -872,663.00 |
| Dec 31, 2025 | -233,405.00 |
| Sep 30, 2025 | 254,882.00 |
| Jun 30, 2025 | 877,659.00 |
| Mar 31, 2025 | -234,308.00 |
| Dec 31, 2024 | -1.02 Mn |
| Sep 30, 2024 | 399,995.00 |
| Jun 30, 2024 | -2.47 Mn |
| Mar 31, 2024 | 3.30 Mn |
| Dec 31, 2023 | -1.43 Mn |
| Sep 30, 2023 | 475,501.00 |
| Jun 30, 2023 | -199,567.00 |
| Mar 31, 2023 | 450,618.00 |
API Access
Borealis Foods Change in Receivables 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=change-in-receivables&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();