Mccormick (MKC) Other Accumulated Expenses (2009 - 2026)
Mccormick (MKC) reported Other Accumulated Expenses of $826.6 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 23.4% from $669.8 million a year earlier and up 14.7% from the prior quarter.
Powered by 
Analysis
Mccormick (MKC) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Mccormick posted Other Accumulated Expenses of $912.3 million, up 1.8% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- By fiscal year, Other Accumulated Expenses came in at $896.4 million in FY2024 (-1.3%), $908.1 million in FY2023 (+20.4%), $754.1 million in FY2022 (-11.3%) and $850.2 million in FY2021 (-1.6%).
- Five-year quarterly Other Accumulated Expenses spans a low of $539.9 million in fiscal Q3 2022 and a high of $912.3 million in fiscal Q4 2025.
- Year over year, Other Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 4.9% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q3 2023 (growth of 25.8%); the low point was fiscal Q4 2022 (a decline of 11.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $720.6 million (Q2 2026), $731.2 million (Q1 2026) and $912.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 826.60 Mn |
| May 31, 2026 | 720.60 Mn |
| Feb 28, 2026 | 731.20 Mn |
| Nov 30, 2025 | 912.30 Mn |
| Aug 31, 2025 | 669.80 Mn |
| May 31, 2025 | 652.20 Mn |
| Feb 28, 2025 | 728.00 Mn |
| Nov 30, 2024 | 896.40 Mn |
| Aug 31, 2024 | 671.60 Mn |
| May 31, 2024 | 635.00 Mn |
| Feb 29, 2024 | 712.60 Mn |
| Nov 30, 2023 | 908.10 Mn |
| Aug 31, 2023 | 679.30 Mn |
| May 31, 2023 | 641.20 Mn |
| Feb 28, 2023 | 610.70 Mn |
| Nov 30, 2022 | 754.10 Mn |
| Aug 31, 2022 | 539.90 Mn |
| May 31, 2022 | 568.80 Mn |
| Feb 28, 2022 | 596.60 Mn |
| Nov 30, 2021 | 850.20 Mn |
API Access
Mccormick Other Accumulated 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=other-accumulated-expenses&ticker=MKC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();