Seaboard (SEB) Sales of Property, Plant and Equipment (2010 - 2026)
Seaboard (SEB) reported Sales of Property, Plant and Equipment of $9 million for Q2 2026, up 12.5% from $8 million a year earlier but down 35.7% from the prior quarter.
Seaboard (SEB) Sales of Property, Plant and Equipment (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Seaboard's Sales of Property, Plant and Equipment came in at $42 million, up 20.0% year-over-year; for FY2025, it came in at $35 million, up 2.9% from FY2024.
- Sales of Property, Plant and Equipment has a five-year compound annual growth rate of 54.3% (FY2020 to FY2025).
- By year, Sales of Property, Plant and Equipment came in at $34 million in FY2024 (unchanged), $34 million in FY2023 (+17.2%), $29 million in FY2022 (-25.6%) and $39 million in FY2021 (+875.0%).
- Five-year quarterly Sales of Property, Plant and Equipment spans a low of $6 million in Q2 2022 and a high of $16 million in Q3 2021.
- Year over year, Sales of Property, Plant and Equipment gained in five of the last eight quarters, with growth averaging 25.0%.
- The high point for year-over-year Sales of Property, Plant and Equipment in five years was Q4 2021 (growth of 800.0%); the low point was Q1 2024 (a decline of 57.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14 million (Q1 2026), $9 million (Q4 2025) and $10 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | - |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | - |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 19.41 Mn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 2.61 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | - |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 8.70 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 9.00 Mn |
| 10 | Cal-Maine Foods | 3.11 Bn | 2.14 Bn | 403,000.00 | 29,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 9.00 Mn |
| Apr 4, 2026 | 14.00 Mn |
| Dec 31, 2025 | 9.00 Mn |
| Sep 27, 2025 | 10.00 Mn |
| Jun 28, 2025 | 8.00 Mn |
| Mar 29, 2025 | 8.00 Mn |
| Dec 31, 2024 | 11.00 Mn |
| Sep 28, 2024 | 8.00 Mn |
| Jun 29, 2024 | 9.00 Mn |
| Mar 30, 2024 | 6.00 Mn |
| Dec 31, 2023 | 6.00 Mn |
| Sep 30, 2023 | 8.00 Mn |
| Jul 1, 2023 | 6.00 Mn |
| Apr 1, 2023 | 14.00 Mn |
| Dec 31, 2022 | 7.00 Mn |
| Oct 1, 2022 | 9.00 Mn |
| Jul 2, 2022 | 6.00 Mn |
| Apr 2, 2022 | 7.00 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Oct 2, 2021 | 16.00 Mn |
Seaboard Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=SEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "ticker": "SEB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=sales-of-property-plant-and-equipment&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();