Mccormick (MKC) Total Non-Current Liabilities (2009 - 2026)
Mccormick (MKC) recorded Total Non-Current Liabilities of $8.5 billion in fiscal Q2 2026 (quarter ended May 31, 2026), up 19.5% from $7.11 billion a year earlier and up 1.5% from the prior quarter.
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Analysis
Mccormick (MKC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Mccormick reported Total Non-Current Liabilities of $8.4 million, up 21.7% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $6.9 million in FY2024 (-9.2%), $7.6 million in FY2023 (-9.5%), $8.4 million in FY2022 (-6.7%) and $9 million in FY2021 (-26.2%).
- The fiscal Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q3 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 23.5% in fiscal Q3 2021, against a decline of 26.2% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.37 billion (Q1 2026), $8.4 million (Q4 2025) and $7.05 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 21.57 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 8.50 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 8.16 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | 557.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 8.50 Bn |
| Feb 28, 2026 | 8.37 Bn |
| Nov 30, 2025 | 8.40 Mn |
| Aug 31, 2025 | 7.05 Bn |
| May 31, 2025 | 7.11 Bn |
| Feb 28, 2025 | 7.03 Bn |
| Nov 30, 2024 | 6.90 Mn |
| Aug 31, 2024 | 7.32 Bn |
| May 31, 2024 | 7.16 Bn |
| Feb 29, 2024 | 7.16 Bn |
| Nov 30, 2023 | 7.60 Mn |
| Aug 31, 2023 | 7.42 Bn |
| May 31, 2023 | 7.47 Bn |
| Feb 28, 2023 | 7.81 Bn |
| Nov 30, 2022 | 8.40 Mn |
| Aug 31, 2022 | 7.86 Bn |
| May 31, 2022 | 7.86 Bn |
| Feb 28, 2022 | 7.84 Bn |
| Nov 30, 2021 | 9.00 Mn |
| Aug 31, 2021 | 7.90 Bn |
API Access
Mccormick Total Non-Current 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-non-current-liabilities&ticker=MKC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();