Sow Good (SOWG) Property, Plant & Equipment (Net) (2010 - 2026)
Sow Good's Property, Plant & Equipment (Net) was $19,167 in Q1 2026, down 99.8% from $11.66 million a year earlier and down 11.5% from the prior quarter.
Sow Good (SOWG) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Sow Good came in at $21,667, down 83.2% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -59.2% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $128,900 in FY2024 (-98.1%), $6.7 million in FY2023 (+33.1%), $5.03 million in FY2022 (+87.8%) and $2.68 million in FY2021 (+40.0%).
- The Q1 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q2 2020.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for three straight quarters, with an average decline of 6.2% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2023 (growth of 94.9%); the worst was Q1 2026 (a decline of 99.8%).
- Per Business Quant data, SOWG's Property, Plant & Equipment (Net) in the three quarters before Q1 2026 was $21,667 (Q4 2025), $10.31 million (Q3 2025) and $11.53 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 10.88 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 10.65 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 3.48 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 7.20 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 3.38 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 3.02 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.54 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.16 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 624.80 Mn |
| 10 | Sow Good | 45.83 Mn | 41.64 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 19,167.00 |
| Dec 31, 2025 | 21,667.00 |
| Sep 30, 2025 | 10.31 Mn |
| Jun 30, 2025 | 11.53 Mn |
| Mar 31, 2025 | 11.66 Mn |
| Dec 31, 2024 | 128,900.00 |
| Sep 30, 2024 | 10.73 Mn |
| Jun 30, 2024 | 8.70 Mn |
| Mar 31, 2024 | 7.31 Mn |
| Dec 31, 2023 | 6.70 Mn |
| Sep 30, 2023 | 6.06 Mn |
| Jun 30, 2023 | 5.24 Mn |
| Mar 31, 2023 | 5.17 Mn |
| Dec 31, 2022 | 5.03 Mn |
| Sep 30, 2022 | 4.76 Mn |
| Jun 30, 2022 | 4.54 Mn |
| Mar 31, 2022 | 2.65 Mn |
| Dec 31, 2021 | 2.68 Mn |
| Sep 30, 2021 | 3.01 Mn |
| Jun 30, 2021 | 2.87 Mn |
Sow Good 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=SOWG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SOWG", "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=SOWG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();