Borealis Foods (BRLS) Change in Inventory (2023 - 2026)
Borealis Foods (BRLS) reported Change in Inventory of -$1.08 million for Q1 2026, compared with -$421,189 a year earlier.
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Analysis
Borealis Foods (BRLS) Change in Inventory (2023 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Borealis Foods' Change in Inventory came in at -$4.84 million; for FY2025, it was -$4.18 million.
- By year, Change in Inventory came in at $1.8 million in FY2024 (+178.1%) and $648,996 in FY2023.
- Five-year quarterly Change in Inventory spans a low of -$1.44 million in Q4 2025 and a high of $1.08 million in Q3 2024.
- Per Business Quant data, the three quarters before Q1 2026 came in at -$1.44 million (Q4 2025), -$1.09 million (Q3 2025) and -$1.23 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 73.00 Mn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | -135.42 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 138.00 Mn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 261.10 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 61.10 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 38.30 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 57.43 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | -83.10 Mn |
| 10 | Borealis Foods | 20.82 Mn | 19.92 Mn | 838,891.00 | -1.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.08 Mn |
| Dec 31, 2025 | -1.44 Mn |
| Sep 30, 2025 | -1.09 Mn |
| Jun 30, 2025 | -1.23 Mn |
| Mar 31, 2025 | -421,189.00 |
| Dec 31, 2024 | 32,844.00 |
| Sep 30, 2024 | 1.08 Mn |
| Jun 30, 2024 | 793,500.00 |
| Mar 31, 2024 | -99,097.00 |
| Dec 31, 2023 | 259,085.00 |
| Sep 30, 2023 | -747,062.00 |
| Jun 30, 2023 | 410,604.00 |
| Mar 31, 2023 | 726,369.00 |
API Access
Borealis Foods Change in 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=change-in-inventory&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();