Mccormick (MKC) Return on Assets [ROA] (2010 - 2026)
Mccormick (MKC) recorded Return on Assets [ROA] of 8.69% in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 2.91 percentage points from 5.78% a year earlier but down 0.81 percentage points from the prior quarter.
Mccormick (MKC) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025 (ended Nov 30, 2025), Mccormick reported Return on Assets [ROA] of 5.46%, down 0.05 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of -0.83 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Assets [ROA] came in at 5.51% in FY2024 (+0.70 pp), 4.80% in FY2023 (-0.15 pp), 4.95% in FY2022 (-0.68 pp) and 5.63% in FY2021 (-0.67 pp).
- Quarterly Return on Assets [ROA] has ranged from 4.62% in fiscal Q3 2023 to 10.67% in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has increased for three consecutive quarters, with an average year-over-year change of +1.73 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 5.02 percentage points in fiscal Q1 2026, against a drop of 0.71 percentage points in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 9.51% (Q2 2026), 10.67% (Q1 2026) and 5.42% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 4.96% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 10.71% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -4.38% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | -2.96% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 1.42% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 8.69% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.57% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 7.77% |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | -10.90% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 8.69% |
| May 31, 2026 | 9.75% |
| Feb 28, 2026 | 10.93% |
| Nov 30, 2025 | 5.72% |
| Aug 31, 2025 | 5.64% |
| May 31, 2025 | 5.68% |
| Feb 28, 2025 | 5.64% |
| Nov 30, 2024 | 5.44% |
| Aug 31, 2024 | 5.48% |
| May 31, 2024 | 5.17% |
| Feb 29, 2024 | 5.00% |
| Nov 30, 2023 | 4.83% |
| Aug 31, 2023 | 4.62% |
| May 31, 2023 | 5.03% |
| Feb 28, 2023 | 4.74% |
| Nov 30, 2022 | 4.94% |
| Aug 31, 2022 | 5.10% |
| May 31, 2022 | 5.00% |
| Feb 28, 2022 | 5.42% |
| Nov 30, 2021 | 5.45% |
Mccormick Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=MKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();