Borealis Foods (BRLS) Receivables - Net (2023 - 2026)
Borealis Foods' Receivables - Net was $1.74 million in Q1 2026, down 2.1% from $1.78 million a year earlier and down 34.2% from the prior quarter.
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Analysis
Borealis Foods (BRLS) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Borealis Foods came in at $2.65 million, up 34.7% from FY2024.
- In earlier years, Receivables - Net was $1.97 million in FY2024 (+10.7%) and $1.78 million in FY2023.
- The Q1 2026 figure marks the lowest quarterly Receivables - Net in data going back to Q4 2023.
- Compared with a year earlier, Receivables - Net was higher in two of the last six quarters, with an average decline of 6.6%.
- Per Business Quant data, BRLS's Receivables - Net in the three quarters before Q1 2026 was $2.65 million (Q4 2025), $2.57 million (Q3 2025) and $2.32 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Borealis Foods | 27.47 Mn | 26.57 Mn | 838,891.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.74 Mn |
| Dec 31, 2025 | 2.65 Mn |
| Sep 30, 2025 | 2.57 Mn |
| Jun 30, 2025 | 2.32 Mn |
| Mar 31, 2025 | 1.78 Mn |
| Dec 31, 2024 | 1.97 Mn |
| Sep 30, 2024 | 2.91 Mn |
| Jun 30, 2024 | 2.55 Mn |
| Mar 31, 2024 | 4.77 Mn |
| Dec 31, 2023 | 1.78 Mn |
API Access
Borealis Foods Receivables - Net 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=receivables-net&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();