Mccormick (MKC) Inventory (2016 - 2025)
Mccormick's Inventory came in at $1.27 billion for fiscal Q4 2025 (quarter ended Nov 30, 2025), up 2.6% from $1.24 billion a year earlier.
Analysis
Mccormick (MKC) Inventory (2016 - 2025) Analysis & Trends
Going back to fiscal Q4 2016, Mccormick's Inventory data covers 10 quarters.
- Inventory carries a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Going back by fiscal year, Inventory was $1.24 billion in FY2024 (+10.1%), $1.13 billion in FY2023 (-15.9%), $1.34 billion in FY2022 (+13.3%) and $1.18 billion in FY2021 (+14.5%).
- The fiscal Q4 2025 figure represents the highest quarterly Inventory since fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 5.26 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 4.41 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 1.74 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 3.31 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 2.16 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | - |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 1.19 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 1.80 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 924.70 Mn |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | 1.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 1.27 Bn |
| Nov 30, 2024 | 1.24 Bn |
| Nov 30, 2023 | 1.13 Bn |
| Nov 30, 2022 | 1.34 Bn |
| Nov 30, 2021 | 1.18 Bn |
| Nov 30, 2020 | 1.03 Bn |
| Nov 30, 2019 | 801.20 Mn |
| Nov 30, 2018 | 786.30 Mn |
| Nov 30, 2017 | 793.30 Mn |
| Nov 30, 2016 | 756.30 Mn |
API Access
Mccormick Inventory 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=inventory&ticker=MKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();