Mccormick (MKC) Operating Margin (2009 - 2026)
Mccormick (MKC) reported Operating Margin of 14.27% for fiscal Q2 2026 (quarter ended May 31, 2026), down 0.54 percentage points from 14.81% a year earlier but up 2.13 percentage points from the prior quarter.
Mccormick (MKC) Operating Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Mccormick's Operating Margin came in at 14.94%, down 0.83 percentage points year-over-year; for FY2025 (ended Nov 30, 2025), it came in at 15.65%, down 0.12 percentage points from FY2024.
- Operating Margin has a five-year change of -2.19 percentage points (FY2020 to FY2025).
- By fiscal year, Operating Margin came in at 15.77% in FY2024 (+1.31 pp), 14.45% in FY2023 (+0.86 pp), 13.60% in FY2022 (-2.47 pp) and 16.07% in FY2021 (-1.78 pp).
- Five-year quarterly Operating Margin spans a low of 10.23% in fiscal Q2 2022 and a high of 17.12% in fiscal Q3 2021.
- Year over year, Operating Margin has now declined in each of the last four quarters, with an average year-over-year change of -0.04 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was fiscal Q2 2023 (a gain of 3.14 percentage points); the low point was fiscal Q2 2022 (a drop of 5.02 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at 12.14% (Q1 2026), 16.81% (Q4 2025) and 16.74% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 14.43% |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 14.27% |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 23.05% |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 2.76% |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | -57.54% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 14.27% |
| Feb 28, 2026 | 12.14% |
| Nov 30, 2025 | 16.81% |
| Aug 31, 2025 | 16.74% |
| May 31, 2025 | 14.81% |
| Feb 28, 2025 | 14.03% |
| Nov 30, 2024 | 17.03% |
| Aug 31, 2024 | 17.06% |
| May 31, 2024 | 14.25% |
| Feb 29, 2024 | 14.57% |
| Nov 30, 2023 | 16.96% |
| Aug 31, 2023 | 14.54% |
| May 31, 2023 | 13.37% |
| Feb 28, 2023 | 12.71% |
| Nov 30, 2022 | 15.59% |
| Aug 31, 2022 | 14.74% |
| May 31, 2022 | 10.23% |
| Feb 28, 2022 | 13.59% |
| Nov 30, 2021 | 15.96% |
| Aug 31, 2021 | 17.12% |
Mccormick Operating Margin 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-margin&ticker=MKC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();