Blue Star Foods (BSFC) Finished Goods (2020 - 2024)
Blue Star Foods (BSFC) recorded Finished Goods of $1.71 million in Q3 2023, down 48.5% from $3.31 million a year earlier and down 39.3% from the prior quarter.
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Analysis
Blue Star Foods (BSFC) Finished Goods (2020 - 2024) Analysis & Trends
At the end of FY2022, Blue Star Foods reported Finished Goods of $3.05 million, up 253.3% from FY2021.
- Across earlier years, Finished Goods came in at $863,967 in FY2021.
- The Q3 2023 figure is the lowest quarterly Finished Goods since Q4 2021.
- Per Business Quant, the preceding three quarters came in at $2.82 million (Q2 2023), $3.37 million (Q1 2023) and $3.05 million (Q4 2022).
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 |
|---|---|
| Sep 30, 2024 | 2.15 Mn |
| Jun 30, 2024 | 1.96 Mn |
| Mar 31, 2024 | 1.99 Mn |
| Dec 31, 2023 | 1.71 Mn |
| Sep 30, 2023 | 1.71 Mn |
| Jun 30, 2023 | 2.82 Mn |
| Mar 31, 2023 | 3.37 Mn |
| Dec 31, 2022 | 3.05 Mn |
| Sep 30, 2022 | 3.31 Mn |
| Dec 31, 2021 | 863,967.00 |
| Dec 31, 2020 | 1.38 Mn |
API Access
Blue Star Foods Finished Goods 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=finished-goods&ticker=BSFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=BSFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();