Cal-Maine Foods (CALM) Operating Expenses (2010 - 2026)
Cal-Maine Foods (CALM) posted Operating Expenses of $93.59 million for fiscal Q4 2026 (quarter ended May 30, 2026), down 1.4% from $94.92 million a year earlier but up 12.3% from the prior quarter.
Cal-Maine Foods (CALM) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Cal-Maine Foods' Operating Expenses came in at $329.29 million, up 4.7% from FY2025.
- Annual Operating Expenses has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 12.4% (FY2021 to FY2026).
- In prior fiscal years, Cal-Maine Foods' Operating Expenses was $314.45 million in FY2025 (+24.5%), $252.63 million in FY2024 (+8.8%), $232.21 million in FY2023 (+16.9%) and $198.63 million in FY2022 (+8.0%).
- Quarterly Operating Expenses has run from a low of $46.53 million in fiscal Q1 2022 to a high of $94.92 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 15.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2025, with growth of 64.3%; the weakest was fiscal Q4 2024, with a decline of 7.0%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $83.3 million (Q3 2026), $82.89 million (Q2 2026) and $69.51 million (Q1 2026).
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 |
|---|---|
| May 30, 2026 | 93.59 Mn |
| Feb 28, 2026 | 83.30 Mn |
| Nov 29, 2025 | 82.89 Mn |
| Aug 30, 2025 | 69.51 Mn |
| May 31, 2025 | 94.92 Mn |
| Mar 1, 2025 | 79.97 Mn |
| Nov 30, 2024 | 77.63 Mn |
| Aug 31, 2024 | 61.93 Mn |
| Jun 1, 2024 | 57.78 Mn |
| Mar 2, 2024 | 66.02 Mn |
| Dec 2, 2023 | 76.58 Mn |
| Sep 2, 2023 | 52.25 Mn |
| Jun 3, 2023 | 62.16 Mn |
| Feb 25, 2023 | 58.49 Mn |
| Nov 26, 2022 | 57.95 Mn |
| Aug 27, 2022 | 53.61 Mn |
| May 28, 2022 | 51.64 Mn |
| Feb 26, 2022 | 52.69 Mn |
| Nov 27, 2021 | 47.78 Mn |
| Aug 28, 2021 | 46.53 Mn |
Cal-Maine 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=CALM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CALM", "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=CALM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();