Seaboard (SEB) Change in Inventory (2010 - 2026)
Seaboard's Change in Inventory was $82 million in Q2 2026, up 28.1% from $64 million a year earlier but down 59.6% from the prior quarter.
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Analysis
Seaboard (SEB) Change in Inventory (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seaboard's Change in Inventory was $246 million through Jul 4, 2026, up 96.8% year-over-year; for FY2025, it came in at $93 million.
- Change in Inventory shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In earlier years, Change in Inventory was -$61 million in FY2024, -$200 million in FY2023, $20 million in FY2022 (-95.7%) and $462 million in FY2021 (+366.7%).
- Quarterly Change in Inventory has moved between -$167 million (Q3 2025) and $203 million (Q1 2026) over five years.
- Compared with a year earlier, Change in Inventory has increased for three straight quarters, with growth averaging 92.7% over the last four quarters.
- The best year-over-year quarter for Change in Inventory over five years was Q2 2024 (growth of 305.3%); the worst was Q2 2023 (a decline of 87.1%).
- Per Business Quant data, SEB's Change in Inventory in the three quarters before Q2 2026 was $203 million (Q1 2026), $128 million (Q4 2025) and -$167 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | -1.15 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 66.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | -242.23 Mn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 43.83 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | - |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | -8.42 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 46.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 82.00 Mn |
| 10 | Cal-Maine Foods | 3.18 Bn | 2.21 Bn | 403,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 82.00 Mn |
| Apr 4, 2026 | 203.00 Mn |
| Dec 31, 2025 | 128.00 Mn |
| Sep 27, 2025 | -167.00 Mn |
| Jun 28, 2025 | 64.00 Mn |
| Mar 29, 2025 | 68.00 Mn |
| Dec 31, 2024 | 49.00 Mn |
| Sep 28, 2024 | -56.00 Mn |
| Jun 29, 2024 | 77.00 Mn |
| Mar 30, 2024 | -131.00 Mn |
| Dec 31, 2023 | -42.00 Mn |
| Sep 30, 2023 | -92.00 Mn |
| Jul 1, 2023 | 19.00 Mn |
| Apr 1, 2023 | -85.00 Mn |
| Dec 31, 2022 | -140.00 Mn |
| Oct 1, 2022 | -32.00 Mn |
| Jul 2, 2022 | 147.00 Mn |
| Apr 2, 2022 | 45.00 Mn |
| Dec 31, 2021 | 119.00 Mn |
| Oct 2, 2021 | 24.00 Mn |
API Access
Seaboard Change in Inventory 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=change-in-inventory&ticker=SEB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();