Beyond Meat (BYND) Operating Expenses (2018 - 2026)
Beyond Meat (BYND) recorded Operating Expenses of $36.68 million in Q2 2026, down 19.3% from $45.44 million a year earlier and down 14.9% from the prior quarter.
Powered by 
Analysis
Beyond Meat (BYND) Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Beyond Meat's Operating Expenses came in at $322.4 million as of Jun 27, 2026, up 64.6% year-over-year; for FY2025, it came in at $341.27 million, up 72.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $197.82 million in FY2024 (-23.7%), $259.24 million in FY2023 (-18.7%), $319.03 million in FY2022 (+9.2%) and $292.21 million in FY2021 (+70.3%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2020.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 26.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 164.4% in Q3 2025, against a decline of 37.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.09 million (Q1 2026), $123.07 million (Q4 2025) and $119.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 121.00 Mn |
| 10 | Beyond Meat | 141.50 Mn | -542.06 Mn | 5.87 Mn | 36.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 36.68 Mn |
| Mar 28, 2026 | 43.09 Mn |
| Dec 31, 2025 | 123.07 Mn |
| Sep 27, 2025 | 119.56 Mn |
| Jun 28, 2025 | 45.44 Mn |
| Mar 29, 2025 | 57.44 Mn |
| Dec 31, 2024 | 47.82 Mn |
| Sep 28, 2024 | 45.22 Mn |
| Jun 29, 2024 | 47.65 Mn |
| Mar 30, 2024 | 57.14 Mn |
| Dec 31, 2023 | 76.94 Mn |
| Sep 30, 2023 | 62.37 Mn |
| Jul 1, 2023 | 56.03 Mn |
| Apr 1, 2023 | 63.91 Mn |
| Dec 31, 2022 | 62.79 Mn |
| Oct 1, 2022 | 74.90 Mn |
| Jul 2, 2022 | 83.52 Mn |
| Apr 2, 2022 | 97.82 Mn |
| Dec 31, 2021 | 91.93 Mn |
| Oct 2, 2021 | 76.97 Mn |
API Access
Beyond Meat 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=BYND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BYND", "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=BYND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();