Mccormick (MKC) Cash & Equivalents (2009 - 2026)
Mccormick's Cash & Equivalents came in at $331.2 million for fiscal Q2 2026 (quarter ended May 31, 2026), up 166.9% from $124.1 million a year earlier and up 86.4% from the prior quarter.
Mccormick (MKC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Mccormick's Cash & Equivalents was $95.9 million, down 48.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -25.7% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $186.1 million in FY2024 (+11.7%), $166.6 million in FY2023 (-50.1%), $334 million in FY2022 (-5.0%) and $351.7 million in FY2021 (-17.0%).
- The fiscal Q2 2026 figure represents the highest quarterly Cash & Equivalents since fiscal Q1 2023.
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 14.1%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2026 (growth of 166.9%), and the weakest in fiscal Q2 2023 (a decline of 60.9%).
- Business Quant data shows MKC's Cash & Equivalents at $177.7 million (Q1 2026), $95.9 million (Q4 2025) and $94.9 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 331.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 371.60 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 331.20 Mn |
| Feb 28, 2026 | 177.70 Mn |
| Nov 30, 2025 | 95.90 Mn |
| Aug 31, 2025 | 94.90 Mn |
| May 31, 2025 | 124.10 Mn |
| Feb 28, 2025 | 102.80 Mn |
| Nov 30, 2024 | 186.10 Mn |
| Aug 31, 2024 | 200.80 Mn |
| May 31, 2024 | 166.30 Mn |
| Feb 29, 2024 | 178.00 Mn |
| Nov 30, 2023 | 166.60 Mn |
| Aug 31, 2023 | 154.70 Mn |
| May 31, 2023 | 127.40 Mn |
| Feb 28, 2023 | 356.80 Mn |
| Nov 30, 2022 | 334.00 Mn |
| Aug 31, 2022 | 343.90 Mn |
| May 31, 2022 | 325.80 Mn |
| Feb 28, 2022 | 338.40 Mn |
| Nov 30, 2021 | 351.70 Mn |
| Aug 31, 2021 | 312.60 Mn |
Mccormick Cash & Equivalents 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=cash-and-equivalents&ticker=MKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();