Borealis Foods (BRLS) Price to Sales (2023 - 2026)
Borealis Foods' Price to Sales was 0.95 in Q1 2026, down 81.0% from 5.00 a year earlier and down 30.2% from the prior quarter.
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Analysis
Borealis Foods (BRLS) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Price to Sales at Borealis Foods came in at 1.36, down 68.9% from FY2024.
- In earlier years, Price to Sales was 4.38 in FY2024 (-33.1%) and 6.54 in FY2023.
- The Q1 2026 figure marks the lowest quarterly Price to Sales in data going back to Q4 2023.
- Compared with a year earlier, Price to Sales has declined for four straight quarters, with an average decline of 40.0% over the last six quarters.
- Per Business Quant data, BRLS's Price to Sales in the three quarters before Q1 2026 was 1.36 (Q4 2025), 1.98 (Q3 2025) and 2.61 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Borealis Foods | 29.62 Mn | 28.72 Mn | 838,891.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.95 |
| Dec 31, 2025 | 1.36 |
| Sep 30, 2025 | 1.98 |
| Jun 30, 2025 | 2.61 |
| Mar 31, 2025 | 5.00 |
| Dec 31, 2024 | 4.38 |
| Sep 30, 2024 | 4.14 |
| Jun 30, 2024 | 6.57 |
| Mar 31, 2024 | 3.21 |
| Dec 31, 2023 | 6.54 |
API Access
Borealis Foods Price to Sales 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=price-to-sales&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();