Mccormick (MKC) Operating Expenses (2009 - 2026)
Mccormick (MKC) posted Operating Expenses of $436.4 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 23.8% from $352.5 million a year earlier but down 1.2% from the prior quarter.
Mccormick (MKC) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, Operating Expenses at Mccormick was $1.74 billion, up 15.2% 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 has increased in each of the last three quarters, with growth averaging 8.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2026, with growth of 23.8%; 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 $441.8 million (Q2 2026), $456.3 million (Q1 2026) and $404.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 141.10 Bn | 92.55 Bn | - | - |
| 2 | Mondelez International | 80.44 Bn | 73.71 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 34.20 Bn | 30.44 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.94 Bn | 14.36 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.66 Bn | 15.31 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 13.71 Bn | 13.50 Bn | 979.60 Mn | 411.10 Mn |
| 7 | Mccormick | 12.47 Bn | 11.53 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.17 Bn | 7.84 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 8.61 Bn | 5.90 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Lamb Weston Holdings | 7.36 Bn | 6.98 Bn | 266.50 Mn | 184.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 436.40 Mn |
| 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 |
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_KEY
import 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();