Mccormick (MKC) Total Liabilities (2009 - 2026)
Mccormick (MKC) posted Total Liabilities of $8.9 billion for fiscal Q2 2026 (quarter ended May 31, 2026), up 17.8% from $7.56 billion a year earlier and up 1.3% from the prior quarter.
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Analysis
Mccormick (MKC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Mccormick's Total Liabilities came in at $7.43 billion, down 4.1% from FY2024.
- Annual Total Liabilities has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In prior fiscal years, Mccormick's Total Liabilities was $7.75 billion in FY2024 (-0.3%), $7.78 billion in FY2023 (-7.7%), $8.43 billion in FY2022 (-0.6%) and $8.48 billion in FY2021 (+4.1%).
- The fiscal Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q3 2009.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with growth averaging 2.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2021, with growth of 22.7%; the weakest was fiscal Q1 2024, with a decline of 8.2%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $8.79 billion (Q1 2026), $7.43 billion (Q4 2025) and $7.46 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 22.81 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 8.90 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 10.45 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | 10.92 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 8.90 Bn |
| Feb 28, 2026 | 8.79 Bn |
| Nov 30, 2025 | 7.43 Bn |
| Aug 31, 2025 | 7.46 Bn |
| May 31, 2025 | 7.56 Bn |
| Feb 28, 2025 | 7.45 Bn |
| Nov 30, 2024 | 7.75 Bn |
| Aug 31, 2024 | 7.75 Bn |
| May 31, 2024 | 7.63 Bn |
| Feb 29, 2024 | 7.63 Bn |
| Nov 30, 2023 | 7.78 Bn |
| Aug 31, 2023 | 7.92 Bn |
| May 31, 2023 | 7.95 Bn |
| Feb 28, 2023 | 8.32 Bn |
| Nov 30, 2022 | 8.43 Bn |
| Aug 31, 2022 | 8.33 Bn |
| May 31, 2022 | 8.34 Bn |
| Feb 28, 2022 | 8.33 Bn |
| Nov 30, 2021 | 8.48 Bn |
| Aug 31, 2021 | 8.48 Bn |
API Access
Mccormick Total Liabilities 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=total-liabilities&ticker=MKC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();