Mccormick (MKC) Operating Expenses (2009 - 2026)
Mccormick (MKC) posted Operating Expenses of $441.8 million for fiscal Q2 2026 (quarter ended May 31, 2026), up 21.3% from $364.2 million a year earlier but down 3.2% from the prior quarter.
Powered by 
Analysis
Mccormick (MKC) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Operating Expenses at Mccormick was $1.66 billion, up 9.0% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $1.5 billion, down 1.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior fiscal years, Mccormick's Operating Expenses was $1.52 billion in FY2024 (+2.9%), $1.48 billion in FY2023 (+8.8%), $1.36 billion in FY2022 (-5.1%) and $1.43 billion in FY2021 (+10.7%).
- Quarterly Operating Expenses has run from a low of $328.1 million in fiscal Q3 2022 to a high of $456.3 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 5.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2026, with growth of 21.3%; the weakest was fiscal Q4 2022, with a decline of 13.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $456.3 million (Q1 2026), $404.8 million (Q4 2025) and $352.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | 401.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 441.80 Mn |
| Feb 28, 2026 | 456.30 Mn |
| Nov 30, 2025 | 404.80 Mn |
| Aug 31, 2025 | 352.50 Mn |
| May 31, 2025 | 364.20 Mn |
| Feb 28, 2025 | 378.80 Mn |
| Nov 30, 2024 | 414.40 Mn |
| Aug 31, 2024 | 361.50 Mn |
| May 31, 2024 | 383.70 Mn |
| Feb 29, 2024 | 361.60 Mn |
| Nov 30, 2023 | 390.00 Mn |
| Aug 31, 2023 | 371.70 Mn |
| May 31, 2023 | 380.50 Mn |
| Feb 28, 2023 | 336.10 Mn |
| Nov 30, 2022 | 346.50 Mn |
| Aug 31, 2022 | 328.10 Mn |
| May 31, 2022 | 350.70 Mn |
| Feb 28, 2022 | 334.00 Mn |
| Nov 30, 2021 | 400.90 Mn |
| Aug 31, 2021 | 328.60 Mn |
API Access
Mccormick 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=MKC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MKC", "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=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();