Seaboard (SEB) Non Operating Interest Expenses (2010 - 2026)
Seaboard (SEB) posted Non Operating Interest Expenses of $20 million for Q2 2026, up 11.1% from $18 million a year earlier and up 100.0% from the prior quarter.
Seaboard (SEB) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Non Operating Interest Expenses at Seaboard was $72 million, up 1.4% year-over-year; for FY2025, it came in at $70 million, down 2.8% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- In prior years, Seaboard's Non Operating Interest Expenses was $72 million in FY2024 (+24.1%), $58 million in FY2023 (+45.0%), $40 million in FY2022 (+207.7%) and $13 million in FY2021 (-31.6%).
- Quarterly Non Operating Interest Expenses has run from a low of $6 million in Q4 2021 to a high of $22 million in Q4 2024 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in four of the last eight quarters, with growth averaging 19.8%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2021, with growth of 200.0%; the weakest was Q3 2023, with a decline of 30.8%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $10 million (Q1 2026), $21 million (Q4 2025) and $21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 148.00 Mn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 197.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 98.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 831.22 Mn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 55.53 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 8.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 49.86 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 55.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 20.00 Mn |
| 10 | Cal-Maine Foods | 3.18 Bn | 2.21 Bn | 403,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 20.00 Mn |
| Apr 4, 2026 | 10.00 Mn |
| Dec 31, 2025 | 21.00 Mn |
| Sep 27, 2025 | 21.00 Mn |
| Jun 28, 2025 | 18.00 Mn |
| Mar 29, 2025 | 10.00 Mn |
| Dec 31, 2024 | 22.00 Mn |
| Sep 28, 2024 | 21.00 Mn |
| Jun 29, 2024 | 17.00 Mn |
| Mar 30, 2024 | 12.00 Mn |
| Dec 31, 2023 | 17.00 Mn |
| Sep 30, 2023 | 9.00 Mn |
| Jul 1, 2023 | 20.00 Mn |
| Apr 1, 2023 | 12.00 Mn |
| Dec 31, 2022 | 17.00 Mn |
| Oct 1, 2022 | 13.00 Mn |
| Jul 2, 2022 | 12.00 Mn |
| Dec 31, 2021 | 6.00 Mn |
| Oct 2, 2021 | 11.00 Mn |
| Jul 3, 2021 | 6.00 Mn |
Seaboard Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=SEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();