Mccormick (MKC) EBITDA (2009 - 2026)
Mccormick (MKC) recorded EBITDA of $349.9 million in fiscal Q2 2026 (quarter ended May 31, 2026), up 15.5% from $302.9 million a year earlier and up 20.4% from the prior quarter.
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Analysis
Mccormick (MKC) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Mccormick's EBITDA came in at $1.36 billion as of May 31, 2026, up 6.3% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $1.3 billion, up 2.6% from FY2024.
- Annual EBITDA has increased for three straight fiscal years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $1.27 billion in FY2024 (+9.2%), $1.16 billion in FY2023 (+9.2%), $1.06 billion in FY2022 (-11.4%) and $1.2 billion in FY2021 (+3.2%).
- Quarterly EBITDA has ranged from $206.4 million in fiscal Q2 2022 to $370.3 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for five consecutive quarters, with growth averaging 5.9% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 31.1% in fiscal Q2 2023, against a decline of 26.6% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $290.5 million (Q1 2026), $370.3 million (Q4 2025) and $349.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 773.40 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 349.90 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 639.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 349.90 Mn |
| Feb 28, 2026 | 290.50 Mn |
| Nov 30, 2025 | 370.30 Mn |
| Aug 31, 2025 | 349.90 Mn |
| May 31, 2025 | 302.90 Mn |
| Feb 28, 2025 | 279.00 Mn |
| Nov 30, 2024 | 357.50 Mn |
| Aug 31, 2024 | 341.10 Mn |
| May 31, 2024 | 291.20 Mn |
| Feb 29, 2024 | 279.30 Mn |
| Nov 30, 2023 | 346.10 Mn |
| Aug 31, 2023 | 298.80 Mn |
| May 31, 2023 | 270.60 Mn |
| Feb 28, 2023 | 246.80 Mn |
| Nov 30, 2022 | 316.70 Mn |
| Aug 31, 2022 | 285.20 Mn |
| May 31, 2022 | 206.40 Mn |
| Feb 28, 2022 | 255.90 Mn |
| Nov 30, 2021 | 323.40 Mn |
| Aug 31, 2021 | 312.40 Mn |
API Access
Mccormick EBITDA 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=ebitda&ticker=MKC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();