Mccormick (MKC) Gross Margin (2009 - 2026)
Mccormick (MKC) posted Gross Margin of 40.18% for fiscal Q2 2026 (quarter ended May 31, 2026), up 2.65 percentage points from 37.53% a year earlier and up 2.35 percentage points from the prior quarter.
Mccormick (MKC) Gross Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Gross Margin at Mccormick was 38.62%, up 0.08 percentage points year-over-year; for FY2025 (ended Nov 30, 2025), it was 37.90%, down 0.64 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of -3.17 percentage points (FY2020 to FY2025).
- In prior fiscal years, Mccormick's Gross Margin was 38.54% in FY2024 (+0.97 pp), 37.56% in FY2023 (+1.75 pp), 35.82% in FY2022 (-3.67 pp) and 39.48% in FY2021 (-1.58 pp).
- The fiscal Q2 2026 figure stands as the highest quarterly Gross Margin since fiscal Q4 2021.
- On a year-over-year basis, Gross Margin increased in five of the last eight quarters, with an average year-over-year change of +0.28 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q4 2023, with a gain of 3.19 percentage points; the weakest was fiscal Q2 2022, with a drop of 5.45 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 37.83% (Q1 2026), 38.93% (Q4 2025) and 37.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 42.61% |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 45.32% |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 32.39% |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 33.88% |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 40.18% |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 44.14% |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 15.92% |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 30.36% |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | 24.43% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 40.18% |
| Feb 28, 2026 | 37.83% |
| Nov 30, 2025 | 38.93% |
| Aug 31, 2025 | 37.40% |
| May 31, 2025 | 37.53% |
| Feb 28, 2025 | 37.62% |
| Nov 30, 2024 | 40.17% |
| Aug 31, 2024 | 38.69% |
| May 31, 2024 | 37.71% |
| Feb 29, 2024 | 37.39% |
| Nov 30, 2023 | 40.01% |
| Aug 31, 2023 | 36.97% |
| May 31, 2023 | 37.10% |
| Feb 28, 2023 | 35.96% |
| Nov 30, 2022 | 36.82% |
| Aug 31, 2022 | 35.52% |
| May 31, 2022 | 34.03% |
| Feb 28, 2022 | 36.81% |
| Nov 30, 2021 | 40.62% |
| Aug 31, 2021 | 38.70% |
Mccormick Gross 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=gross-margin&ticker=MKC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();