Blue Star Foods (BSFC) Accumulated Expenses (2024 - 2026)
Blue Star Foods (BSFC) reported Accumulated Expenses of $581,991 for Q2 2026, up 106.7% from $281,532 a year earlier and up 34.4% from the prior quarter.
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Analysis
Blue Star Foods (BSFC) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Blue Star Foods posted Accumulated Expenses of $355,283, down 47.4% from FY2024.
- By year, Accumulated Expenses came in at $675,122 in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses since Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $433,178 (Q1 2026), $355,283 (Q4 2025) and $317,021 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - |
| 10 | Blue Star Foods | 18.03 Mn | 17.90 Mn | 297,065.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 581,991.00 |
| Mar 31, 2026 | 433,178.00 |
| Dec 31, 2025 | 355,283.00 |
| Sep 30, 2025 | 317,021.00 |
| Jun 30, 2025 | 281,532.00 |
| Dec 31, 2024 | 675,122.00 |
| Sep 30, 2024 | 3,136.00 |
API Access
Blue Star Foods Accumulated Expenses 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=accumulated-expenses&ticker=BSFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BSFC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=BSFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();