Mccormick (MKC) Long-Term Debt Repayments (2009 - 2026)
Mccormick's Long-Term Debt Repayments came in at $2.2 million for fiscal Q2 2026 (quarter ended May 31, 2026), up 4.8% from $2.1 million a year earlier but down 99.6% from the prior quarter.
Mccormick (MKC) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Mccormick reported Long-Term Debt Repayments of $758.7 million, down 3.6% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $267.9 million, down 66.6% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Going back by fiscal year, Long-Term Debt Repayments was $801.1 million in FY2024 (+198.8%), $268.1 million in FY2023 (-65.3%), $772 million in FY2022 (+200.3%) and $257.1 million in FY2021 (-0.2%).
- The five-year range for quarterly Long-Term Debt Repayments is $1.8 million (fiscal Q4 2021) to $753.4 million (fiscal Q3 2022).
- Year-over-year, Long-Term Debt Repayments increased in two of the last six quarters, with growth averaging 23.8%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q2 2022 (growth of 594.1%), and the weakest in fiscal Q3 2025 (a decline of 99.7%).
- Business Quant data shows MKC's Long-Term Debt Repayments at $502.2 million (Q1 2026), $252.2 million (Q4 2025) and $2.1 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 42.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 1.51 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 2.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 220.00 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 4.40 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.20 Mn |
| Feb 28, 2026 | 502.20 Mn |
| Nov 30, 2025 | 252.20 Mn |
| Aug 31, 2025 | 2.10 Mn |
| May 31, 2025 | 2.10 Mn |
| Feb 28, 2025 | 11.50 Mn |
| Nov 30, 2024 | 48.30 Mn |
| Aug 31, 2024 | 724.80 Mn |
| May 31, 2024 | 13.90 Mn |
| Feb 29, 2024 | 14.10 Mn |
| Nov 30, 2023 | 255.40 Mn |
| Aug 31, 2023 | 3.60 Mn |
| May 31, 2023 | 5.50 Mn |
| Feb 28, 2023 | 3.60 Mn |
| Nov 30, 2022 | 3.30 Mn |
| Aug 31, 2022 | 753.40 Mn |
| May 31, 2022 | 11.80 Mn |
| Feb 28, 2022 | 3.50 Mn |
| Nov 30, 2021 | 1.80 Mn |
| Aug 31, 2021 | 251.80 Mn |
Mccormick Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();