Tyson Foods (TSN) Operating Expenses (2009 - 2026)
Tyson Foods (TSN) posted Operating Expenses of $559 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 3.9% from $538 million a year earlier and up 6.1% from the prior quarter.
Tyson Foods (TSN) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Operating Expenses at Tyson Foods was $2.16 billion, up 3.4% year-over-year; for FY2025 (ended Sep 27, 2025), it was $2.12 billion, down 4.4% from FY2024.
- Annual Operating Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- In prior fiscal years, Tyson Foods' Operating Expenses was $2.22 billion in FY2024 (-1.2%), $2.25 billion in FY2023 (-0.6%), $2.26 billion in FY2022 (+6.0%) and $2.13 billion in FY2021 (-10.4%).
- Quarterly Operating Expenses has run from a low of $500 million in fiscal Q2 2025 to a high of $592 million in fiscal Q1 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 2.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2022, with growth of 18.6%; the weakest was fiscal Q1 2025, with a decline of 13.0%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $527 million (Q2 2026), $506 million (Q1 2026) and $568 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 121.00 Mn |
| 10 | Cal-Maine Foods | 3.16 Bn | 2.05 Bn | 34.07 Mn | 93.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 559.00 Mn |
| Mar 28, 2026 | 527.00 Mn |
| Dec 27, 2025 | 506.00 Mn |
| Sep 27, 2025 | 568.00 Mn |
| Jun 28, 2025 | 538.00 Mn |
| Mar 29, 2025 | 500.00 Mn |
| Dec 28, 2024 | 515.00 Mn |
| Sep 28, 2024 | 535.00 Mn |
| Jun 29, 2024 | 537.00 Mn |
| Mar 30, 2024 | 554.00 Mn |
| Dec 30, 2023 | 592.00 Mn |
| Sep 30, 2023 | 589.00 Mn |
| Jul 1, 2023 | 579.00 Mn |
| Apr 1, 2023 | 576.00 Mn |
| Dec 31, 2022 | 501.00 Mn |
| Oct 1, 2022 | 541.00 Mn |
| Jul 2, 2022 | 578.00 Mn |
| Apr 2, 2022 | 579.00 Mn |
| Jan 1, 2022 | 560.00 Mn |
| Oct 2, 2021 | 567.00 Mn |
Tyson Foods Operating 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=operating-expenses&ticker=TSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TSN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();