Mccormick (MKC) Return on Capital Employed [ROCE] (2010 - 2026)
Mccormick (MKC) reported Return on Capital Employed [ROCE] of 8.60% for fiscal Q2 2026 (quarter ended May 31, 2026), down 2.19 percentage points from 10.79% a year earlier and down 0.87 percentage points from the prior quarter.
Mccormick (MKC) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025 (ended Nov 30, 2025), Mccormick posted Return on Capital Employed [ROCE] of 10.63%, up 0.12 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased for three consecutive fiscal years, though with a five-year change of -1.59 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Capital Employed [ROCE] came in at 10.52% in FY2024 (+0.78 pp), 9.73% in FY2023 (+0.72 pp), 9.01% in FY2022 (-1.93 pp) and 10.95% in FY2021 (-1.27 pp).
- The fiscal Q2 2026 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] since fiscal Q4 2017.
- Year over year, Return on Capital Employed [ROCE] gained in five of the last eight quarters, with an average year-over-year change of -0.05 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q2 2024 (a gain of 1.44 percentage points); the low point was fiscal Q2 2026 (a drop of 2.19 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at 9.47% (Q1 2026), 10.54% (Q4 2025) and 10.55% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 8.97% |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 20.49% |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | -4.62% |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | -0.89% |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 5.93% |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 8.50% |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 5.01% |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 24.87% |
| 10 | Conagra Brands | 6.31 Bn | 5.62 Bn | 618.70 Mn | -11.84% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 8.50% |
| May 31, 2026 | 8.60% |
| Feb 28, 2026 | 9.47% |
| Nov 30, 2025 | 10.54% |
| Aug 31, 2025 | 10.55% |
| May 31, 2025 | 10.79% |
| Feb 28, 2025 | 10.64% |
| Nov 30, 2024 | 10.34% |
| Aug 31, 2024 | 10.56% |
| May 31, 2024 | 10.14% |
| Feb 29, 2024 | 10.07% |
| Nov 30, 2023 | 9.80% |
| Aug 31, 2023 | 9.51% |
| May 31, 2023 | 8.71% |
| Feb 28, 2023 | 8.69% |
| Nov 30, 2022 | 9.00% |
| Aug 31, 2022 | 8.93% |
| May 31, 2022 | 9.22% |
| Feb 28, 2022 | 10.01% |
| Nov 30, 2021 | 10.50% |
Mccormick Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();