Seaboard (SEB) Acquisitions (2010 - 2024)
Seaboard (SEB) reported Acquisitions of $3 million for Q1 2024.
Analysis
Seaboard (SEB) Acquisitions (2010 - 2024) Analysis & Trends
For FY2023, Seaboard posted Acquisitions of $11 million, down 81.0% from FY2022.
- Acquisitions has a five-year compound annual growth rate of -47.0% (FY2018 to FY2023).
- By year, Acquisitions came in at $58 million in FY2022 (+728.6%), $7 million in FY2021 (-74.1%), $27 million in FY2020 (+28.6%) and $21 million in FY2019 (-92.0%).
- The Q1 2024 figure ranks as the highest quarterly Acquisitions since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.39 Bn | 34.39 Bn | 1.94 Bn | - |
| 2 | Bunge Global | 19.60 Bn | 15.72 Bn | 1.68 Bn | 44.00 Mn |
| 3 | Tyson Foods | 19.56 Bn | 15.82 Bn | 921.00 Mn | - |
| 4 | Jbs | 13.36 Bn | -19.91 Bn | 2.59 Bn | - |
| 5 | Darling Ingredients | 9.29 Bn | 8.84 Bn | 503.37 Mn | 110.75 Mn |
| 6 | Smithfield Foods | 7.24 Bn | 2.19 Bn | 478.00 Mn | - |
| 7 | Pilgrims Pride | 6.58 Bn | 4.40 Bn | 339.75 Mn | - |
| 8 | Ingredion | 6.05 Bn | 2.23 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.61 Bn | -1.23 Bn | 221.00 Mn | - |
| 10 | Scotts Miracle-Gro | 3.27 Bn | 3.20 Bn | 365.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 30, 2024 | 3.00 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Dec 31, 2020 | 19.00 Mn |
| Sep 26, 2020 | 3.00 Mn |
| Mar 28, 2020 | 5.00 Mn |
| Dec 31, 2019 | 17.00 Mn |
| Dec 31, 2018 | -6.00 Mn |
| Sep 29, 2018 | 9.00 Mn |
| Mar 31, 2018 | 287.00 Mn |
| Sep 30, 2017 | 63.00 Mn |
| Jul 1, 2017 | 39.00 Mn |
| Apr 1, 2017 | 39.00 Mn |
| Dec 31, 2016 | 21.00 Mn |
| Oct 1, 2016 | 84.00 Mn |
| Jul 2, 2016 | 13.00 Mn |
| Apr 2, 2016 | 172.00 Mn |
| Dec 31, 2015 | 41.00 Mn |
| Oct 3, 2015 | 28.00 Mn |
| Jul 4, 2015 | 32.00 Mn |
API Access
Seaboard Acquisitions 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=acquisitions&ticker=SEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();