Smithfield Foods (SFD) Accumulated Expenses (2009 - 2026)
Smithfield Foods (SFD) reported Accumulated Expenses of $821 million for Q4 2026.
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Analysis
Smithfield Foods (SFD) Accumulated Expenses (2009 - 2026) Analysis & Trends
Dating back to Q4 2010, Smithfield Foods' Accumulated Expenses record includes 26 quarters.
- Accumulated Expenses has a three-year compound annual growth rate of -11.0% (FY2023 to FY2026).
- By year, Accumulated Expenses came in at $811 million in FY2025 (-6.9%), $871 million in FY2024 (-25.3%) and $1.17 billion in FY2023.
- Five-year quarterly Accumulated Expenses spans a low of $811 million in Q3 2025 and a high of $1.17 billion in Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - |
| 10 | Seaboard | 3.59 Bn | -1.46 Bn | 132.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 821.00 Mn |
| Jun 28, 2026 | 818.00 Mn |
| Mar 29, 2026 | 922.00 Mn |
| Dec 28, 2025 | 811.00 Mn |
| Sep 28, 2025 | 811.00 Mn |
| Jun 29, 2025 | 824.00 Mn |
| Mar 30, 2025 | 889.00 Mn |
| Dec 29, 2024 | 871.00 Mn |
| Dec 31, 2023 | 1.17 Bn |
| Oct 2, 2016 | 840.50 Mn |
| Jul 3, 2016 | 837.00 Mn |
| Apr 3, 2016 | 742.80 Mn |
| Jan 3, 2016 | 828.30 Mn |
| Sep 27, 2015 | 697.80 Mn |
| Jun 28, 2015 | 731.00 Mn |
| Mar 29, 2015 | 662.70 Mn |
| Dec 28, 2014 | 745.00 Mn |
| Sep 28, 2014 | 678.70 Mn |
| Jun 29, 2014 | 680.10 Mn |
| Mar 30, 2014 | 845.10 Mn |
API Access
Smithfield Foods Accumulated 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=accumulated-expenses&ticker=SFD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SFD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();