Seaboard (SEB) Long-Term Debt Repayments (2010 - 2026)
Seaboard (SEB) reported Long-Term Debt Repayments of $8 million for Q2 2026, down 20.0% from $10 million a year earlier and unchanged from the prior quarter.
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Analysis
Seaboard (SEB) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Seaboard's Long-Term Debt Repayments came in at $34 million, down 17.1% year-over-year; for FY2025, it was $38 million, down 22.4% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $49 million in FY2024 (-14.0%), $57 million in FY2023 (+29.5%), $44 million in FY2022 (-20.0%) and $55 million in FY2021 (-20.3%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $2 million in Q4 2021 and a high of $16 million in Q4 2022.
- Year over year, Long-Term Debt Repayments has now declined in each of the last nine quarters, with an average decline of 21.9% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2022 (growth of 700.0%); the low point was Q3 2021 (a decline of 90.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8 million (Q1 2026), $9 million (Q4 2025) and $9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.57 Bn | 34.57 Bn | 1.94 Bn | - |
| 2 | Tyson Foods | 20.07 Bn | 16.33 Bn | 921.00 Mn | 89.00 Mn |
| 3 | Bunge Global | 19.93 Bn | 16.04 Bn | 1.68 Bn | 620.00 Mn |
| 4 | Jbs | 13.21 Bn | -20.06 Bn | 2.59 Bn | 2.27 Bn |
| 5 | Darling Ingredients | 8.80 Bn | 8.34 Bn | 503.37 Mn | 403.42 Mn |
| 6 | Smithfield Foods | 7.38 Bn | 2.33 Bn | 478.00 Mn | - |
| 7 | Pilgrims Pride | 6.68 Bn | 4.49 Bn | 339.75 Mn | 313.16 Mn |
| 8 | Ingredion | 6.14 Bn | 2.32 Bn | 426.00 Mn | 108.00 Mn |
| 9 | Seaboard | 3.71 Bn | -1.13 Bn | 221.00 Mn | 10.00 Mn |
| 10 | Scotts Miracle-Gro | 3.43 Bn | 3.36 Bn | 365.90 Mn | 298.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 10.00 Mn |
| Apr 4, 2026 | 11.00 Mn |
| Dec 31, 2025 | 14.00 Mn |
| Sep 27, 2025 | 12.00 Mn |
| Jun 28, 2025 | 12.00 Mn |
| Mar 29, 2025 | 11.00 Mn |
| Dec 31, 2024 | 16.00 Mn |
| Sep 28, 2024 | 10.00 Mn |
| Jun 29, 2024 | 16.00 Mn |
| Mar 30, 2024 | 17.00 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | 16.00 Mn |
| Jul 1, 2023 | 17.00 Mn |
| Apr 1, 2023 | 16.00 Mn |
| Dec 31, 2022 | 17.00 Mn |
| Oct 1, 2022 | 15.00 Mn |
| Jul 2, 2022 | 11.00 Mn |
| Apr 2, 2022 | 9.00 Mn |
| Dec 31, 2021 | 7.00 Mn |
| Oct 2, 2021 | 12.00 Mn |
API Access
Seaboard Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SEB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();