Borealis Foods (BRLS) Inventory (2023 - 2026)
Borealis Foods' Inventory came in at $3.53 million for Q1 2026, down 54.4% from $7.75 million a year earlier and down 22.9% from the prior quarter.
Analysis
Borealis Foods (BRLS) Inventory (2023 - 2026) Analysis & Trends
At the end of FY2025, Borealis Foods' Inventory was $4.58 million, down 43.0% from FY2024.
- Going back by year, Inventory was $8.05 million in FY2024 (+15.9%) and $6.95 million in FY2023.
- The Q1 2026 figure represents the lowest quarterly Inventory in data going back to Q4 2023.
- Year-over-year, Inventory has declined for four consecutive quarters, with an average decline of 18.0% over the last six quarters.
- Business Quant data shows BRLS's Inventory at $4.58 million (Q4 2025), $6 million (Q3 2025) and $7 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 5.26 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 4.41 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 1.74 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 3.31 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 2.16 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 | 1.19 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.80 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 924.70 Mn |
| 10 | Borealis Foods | 27.47 Mn | 26.57 Mn | 838,891.00 | 3.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.53 Mn |
| Dec 31, 2025 | 4.58 Mn |
| Sep 30, 2025 | 6.00 Mn |
| Jun 30, 2025 | 7.00 Mn |
| Mar 31, 2025 | 7.75 Mn |
| Dec 31, 2024 | 8.05 Mn |
| Sep 30, 2024 | 8.75 Mn |
| Jun 30, 2024 | 7.66 Mn |
| Mar 31, 2024 | 6.80 Mn |
| Dec 31, 2023 | 6.95 Mn |
API Access
Borealis Foods Inventory 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=inventory&ticker=BRLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();