Mccormick (MKC) Interest Expenses (2009 - 2026)
Mccormick's Interest Expenses came in at $62.7 million for fiscal Q2 2026 (quarter ended May 31, 2026), up 22.9% from $51 million a year earlier and up 32.6% from the prior quarter.
Mccormick (MKC) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Mccormick reported Interest Expenses of $206.7 million, up 0.5% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $196.2 million, down 6.3% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Going back by fiscal year, Interest Expenses was $209.4 million in FY2024 (+0.6%), $208.2 million in FY2023 (+39.6%), $149.1 million in FY2022 (+9.2%) and $136.6 million in FY2021 (+0.7%).
- The fiscal Q2 2026 figure represents the highest quarterly Interest Expenses in data going back to fiscal Q3 2009.
- Year-over-year, Interest Expenses increased in two of the last eight quarters, with an average decline of 0.4%.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q2 2023 (growth of 54.9%), and the weakest in fiscal Q4 2025 (a decline of 11.8%).
- Business Quant data shows MKC's Interest Expenses at $47.3 million (Q1 2026), $46.5 million (Q4 2025) and $50.2 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | - |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 62.70 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | - |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 62.70 Mn |
| Feb 28, 2026 | 47.30 Mn |
| Nov 30, 2025 | 46.50 Mn |
| Aug 31, 2025 | 50.20 Mn |
| May 31, 2025 | 51.00 Mn |
| Feb 28, 2025 | 48.50 Mn |
| Nov 30, 2024 | 52.70 Mn |
| Aug 31, 2024 | 53.50 Mn |
| May 31, 2024 | 52.90 Mn |
| Feb 29, 2024 | 50.30 Mn |
| Nov 30, 2023 | 52.70 Mn |
| Aug 31, 2023 | 52.70 Mn |
| May 31, 2023 | 52.20 Mn |
| Feb 28, 2023 | 50.60 Mn |
| Nov 30, 2022 | 44.40 Mn |
| Aug 31, 2022 | 37.90 Mn |
| May 31, 2022 | 33.70 Mn |
| Feb 28, 2022 | 33.10 Mn |
| Nov 30, 2021 | 33.30 Mn |
| Aug 31, 2021 | 33.90 Mn |
Mccormick Interest Expenses 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=interest-expenses&ticker=MKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();