Blue Star Foods (BSFC) Property, Plant & Equipment (Net) (2017 - 2026)
Blue Star Foods (BSFC) reported Property, Plant & Equipment (Net) of $93,241 for Q2 2026, down 22.2% from $119,878 a year earlier and down 6.6% from the prior quarter.
Blue Star Foods (BSFC) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Blue Star Foods posted Property, Plant & Equipment (Net) of $106,150, down 13.6% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $122,860 in FY2024 (-59.6%), $303,857 in FY2023 (+152.4%), $120,400 in FY2022 (-93.7%) and $1.9 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q1 2021.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last seven quarters, with an average decline of 33.5% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2024 (growth of 163.5%); the low point was Q4 2022 (a decline of 93.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $99,799 (Q1 2026), $106,150 (Q4 2025) and $113,506 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 11.03 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 8.79 Bn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 11.94 Bn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 14.61 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 2.83 Bn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 3.23 Bn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 3.85 Bn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 2.56 Bn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | 655.60 Mn |
| 10 | Blue Star Foods | 18.03 Mn | 17.90 Mn | 297,065.00 | 93,241.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93,241.00 |
| Mar 31, 2026 | 99,799.00 |
| Dec 31, 2025 | 106,150.00 |
| Sep 30, 2025 | 113,506.00 |
| Jun 30, 2025 | 119,878.00 |
| Mar 31, 2025 | 126,389.00 |
| Dec 31, 2024 | 122,860.00 |
| Sep 30, 2024 | 393,798.00 |
| Jun 30, 2024 | 358,978.00 |
| Mar 31, 2024 | 324,077.00 |
| Dec 31, 2023 | 303,857.00 |
| Sep 30, 2023 | 267,561.00 |
| Jun 30, 2023 | 136,252.00 |
| Mar 31, 2023 | 133,878.00 |
| Dec 31, 2022 | 120,400.00 |
| Sep 30, 2022 | 2.03 Mn |
| Jun 30, 2022 | 2.04 Mn |
| Mar 31, 2022 | 2.07 Mn |
| Dec 31, 2021 | 1.90 Mn |
| Sep 30, 2021 | 2.02 Mn |
Blue Star Foods Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BSFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BSFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();