Mccormick (MKC) Return on Sales [ROS] (2009 - 2026)
Mccormick's Return on Sales [ROS] came in at 10.72% for fiscal Q3 2026 (quarter ended Aug 31, 2026), down 6.02 percentage points from 16.74% a year earlier and down 3.56 percentage points from the prior quarter.
Mccormick (MKC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Mccormick reported Return on Sales [ROS] of 13.43%, down 2.28 percentage points year-over-year; for FY2025 (ended Nov 30, 2025), it came in at 15.65%, down 0.12 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -2.19 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Sales [ROS] was 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).
- The fiscal Q3 2026 figure represents the lowest quarterly Return on Sales [ROS] since fiscal Q2 2022.
- Year-over-year, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -1.11 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2023 (a gain of 3.14 percentage points), and the weakest in fiscal Q3 2026 (a drop of 6.02 percentage points).
- Business Quant data shows MKC's Return on Sales [ROS] at 14.27% (Q2 2026), 12.14% (Q1 2026) and 16.81% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.76% |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 10.34% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 10.72% |
| 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% |
Mccormick Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MKC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();