Seaboard (SEB) Shares Outstanding (Diluted) (2022 - 2026)
Seaboard (SEB) posted Weighted Average Shares Outstanding (Diluted) of 957,794 for Q3 2026, down 0.1% from 958,618 a year earlier and unchanged from the prior quarter.
Seaboard (SEB) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Seaboard's Weighted Average Shares Outstanding (Diluted) came in at 964,113, down 0.7% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has declined for three consecutive years, with a three-year compound annual growth rate of -6.0% (FY2022 to FY2025).
- In prior years, Seaboard's Weighted Average Shares Outstanding (Diluted) was 971,055 in FY2024 (-13.1%), 1.12 million in FY2023 (-3.7%) and 1.16 million in FY2022.
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 957,794 in Q1 2026 to a high of 1.16 million in Q3 2023 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined in each of the last six quarters, with an average decline of 2.2% over the last eight quarters.
- Across the past five years, year-over-year decline in Weighted Average Shares Outstanding (Diluted) ran from 0.0% in Q1 2025 to 16.3% in Q1 2024.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 957,794 (Q2 2026), 957,794 (Q1 2026) and 964,113 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 484.00 Mn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 355.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 194.05 Mn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 1,890.00 |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 160.13 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 394.91 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 239.03 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 63.70 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | 59.20 Mn |
| 10 | Seaboard | 3.59 Bn | -1.46 Bn | 132.00 Mn | 957,794.00 |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 957,794.00 |
| Jul 4, 2026 | 957,794.00 |
| Apr 4, 2026 | 957,794.00 |
| Dec 31, 2025 | 964,113.00 |
| Sep 27, 2025 | 958,618.00 |
| Jun 28, 2025 | 969,427.00 |
| Mar 29, 2025 | 971,055.00 |
| Dec 31, 2024 | 971,055.00 |
| Sep 28, 2024 | 971,055.00 |
| Jun 29, 2024 | 971,055.00 |
| Mar 30, 2024 | 971,055.00 |
| Dec 31, 2023 | 1.12 Mn |
| Sep 30, 2023 | 1.16 Mn |
| Jul 1, 2023 | 1.16 Mn |
| Apr 1, 2023 | 1.16 Mn |
| Dec 31, 2022 | 1.16 Mn |
Seaboard Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();