Seaboard (SEB) Total Non-Current Liabilities (2010 - 2026)
Seaboard (SEB) reported Total Non-Current Liabilities of $3.02 billion for Q2 2026, down 6.5% from $3.23 billion a year earlier but up 3.5% from the prior quarter.
Seaboard (SEB) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Seaboard posted Total Non-Current Liabilities of $2.86 billion, up 3.4% from FY2024.
- Total Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $2.77 billion in FY2024 (+1.0%), $2.74 billion in FY2023 (+4.7%), $2.62 billion in FY2022 (+72.7%) and $1.52 billion in FY2021 (+1.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.38 billion in Q3 2022 and a high of $3.23 billion in Q2 2025.
- Year over year, Total Non-Current Liabilities gained in seven of the last eight quarters, with growth averaging 7.9%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2022 (growth of 72.7%); the low point was Q3 2022 (a decline of 10.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.92 billion (Q1 2026), $2.86 billion (Q4 2025) and $2.84 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 9.64 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 28.26 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 15.41 Bn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 25.20 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 5.50 Bn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 4.82 Bn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 6.23 Bn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 3.02 Bn |
| 10 | Cal-Maine Foods | 3.18 Bn | 2.21 Bn | 403,000.00 | 394.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 3.02 Bn |
| Apr 4, 2026 | 2.92 Bn |
| Dec 31, 2025 | 2.86 Bn |
| Sep 27, 2025 | 2.84 Bn |
| Jun 28, 2025 | 3.23 Bn |
| Mar 29, 2025 | 2.72 Bn |
| Dec 31, 2024 | 2.77 Bn |
| Sep 28, 2024 | 2.83 Bn |
| Jun 29, 2024 | 2.67 Bn |
| Mar 30, 2024 | 2.63 Bn |
| Dec 31, 2023 | 2.74 Bn |
| Sep 30, 2023 | 2.13 Bn |
| Jul 1, 2023 | 2.44 Bn |
| Apr 1, 2023 | 2.45 Bn |
| Dec 31, 2022 | 2.62 Bn |
| Oct 1, 2022 | 1.38 Bn |
| Jul 2, 2022 | 1.41 Bn |
| Apr 2, 2022 | 1.50 Bn |
| Dec 31, 2021 | 1.52 Bn |
| Oct 2, 2021 | 1.53 Bn |
Seaboard Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();