Mccormick (MKC) Total Current Liabilities (2009 - 2026)
Mccormick (MKC) posted Total Current Liabilities of $3.57 billion for fiscal Q2 2026 (quarter ended May 31, 2026), up 12.1% from $3.19 billion a year earlier and up 3.8% from the prior quarter.
Mccormick (MKC) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Mccormick's Total Current Liabilities came in at $3.06 billion, up 6.2% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior fiscal years, Mccormick's Total Current Liabilities was $2.88 billion in FY2024 (-7.0%), $3.1 billion in FY2023 (-9.7%), $3.43 billion in FY2022 (+6.5%) and $3.22 billion in FY2021 (+5.8%).
- The fiscal Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to fiscal Q3 2009.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last three quarters, with growth averaging 4.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q3 2021, with growth of 61.8%; the weakest was fiscal Q2 2023, with a decline of 20.6%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $3.44 billion (Q1 2026), $3.06 billion (Q4 2025) and $3.12 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 6.94 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 2.29 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 3.57 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 3.07 Bn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.57 Bn |
| Feb 28, 2026 | 3.44 Bn |
| Nov 30, 2025 | 3.06 Bn |
| Aug 31, 2025 | 3.12 Bn |
| May 31, 2025 | 3.19 Bn |
| Feb 28, 2025 | 3.10 Bn |
| Nov 30, 2024 | 2.88 Bn |
| Aug 31, 2024 | 3.14 Bn |
| May 31, 2024 | 2.98 Bn |
| Feb 29, 2024 | 2.97 Bn |
| Nov 30, 2023 | 3.10 Bn |
| Aug 31, 2023 | 3.17 Bn |
| May 31, 2023 | 2.49 Bn |
| Feb 28, 2023 | 3.32 Bn |
| Nov 30, 2022 | 3.43 Bn |
| Aug 31, 2022 | 3.14 Bn |
| May 31, 2022 | 3.13 Bn |
| Feb 28, 2022 | 3.08 Bn |
| Nov 30, 2021 | 3.22 Bn |
| Aug 31, 2021 | 3.16 Bn |
Mccormick Total Current Liabilities 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=total-current-liabilities&ticker=MKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();