Mccormick (MKC) Cost of Revenue (2009 - 2026)
Mccormick's Cost of Revenue came in at $1.23 billion for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 13.9% from $1.08 billion a year earlier and up 6.2% from the prior quarter.
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Analysis
Mccormick (MKC) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Mccormick reported Cost of Revenue of $4.68 billion, up 11.7% year-over-year; for FY2025 (ended Nov 30, 2025), it was $4.25 billion, up 2.8% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $4.13 billion in FY2024 (-0.6%), $4.16 billion in FY2023 (+2.1%), $4.08 billion in FY2022 (+6.6%) and $3.82 billion in FY2021 (+15.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Cost of Revenue in data going back to fiscal Q3 2009.
- Year-over-year, Cost of Revenue has increased for six consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q1 2026 (growth of 16.3%), and the weakest in fiscal Q3 2024 (a decline of 3.0%).
- Business Quant data shows MKC's Cost of Revenue at $1.16 billion (Q2 2026), $1.17 billion (Q1 2026) and $1.13 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 1.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.23 Bn |
| May 31, 2026 | 1.16 Bn |
| Feb 28, 2026 | 1.17 Bn |
| Nov 30, 2025 | 1.13 Bn |
| Aug 31, 2025 | 1.08 Bn |
| May 31, 2025 | 1.04 Bn |
| Feb 28, 2025 | 1.00 Bn |
| Nov 30, 2024 | 1.08 Bn |
| Aug 31, 2024 | 1.03 Bn |
| May 31, 2024 | 1.02 Bn |
| Feb 29, 2024 | 1.00 Bn |
| Nov 30, 2023 | 1.05 Bn |
| Aug 31, 2023 | 1.06 Bn |
| May 31, 2023 | 1.04 Bn |
| Feb 28, 2023 | 1.00 Bn |
| Nov 30, 2022 | 1.07 Bn |
| Aug 31, 2022 | 1.03 Bn |
| May 31, 2022 | 1.01 Bn |
| Feb 28, 2022 | 962.00 Mn |
| Nov 30, 2021 | 1.03 Bn |
API Access
Mccormick Cost of Revenue 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=cost-of-revenue&ticker=MKC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();