Mccormick (MKC) Tax Provisions (2009 - 2026)
Mccormick (MKC) reported Tax Provisions of $63.5 million for fiscal Q2 2026 (quarter ended May 31, 2026), up 28.8% from $49.3 million a year earlier and up 30.4% from the prior quarter.
Mccormick (MKC) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Mccormick's Tax Provisions came in at $217.1 million, up 9.0% year-over-year; for FY2025 (ended Nov 30, 2025), it was $195.8 million, up 6.4% from FY2024.
- Tax Provisions has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- By fiscal year, Tax Provisions came in at $184 million in FY2024 (+5.4%), $174.5 million in FY2023 (+3.5%), $168.6 million in FY2022 (-12.5%) and $192.7 million in FY2021 (+10.2%).
- Five-year quarterly Tax Provisions spans a low of $21.7 million in fiscal Q2 2022 and a high of $67.2 million in fiscal Q4 2024.
- Year over year, Tax Provisions gained in four of the last eight quarters, with growth averaging 15.6%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q3 2022 (growth of 88.3%); the low point was fiscal Q2 2022 (a decline of 52.2%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $48.7 million (Q1 2026), $65.6 million (Q4 2025) and $39.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 364.00 Mn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 130.62 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -916.00 Mn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 122.80 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 63.50 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 103.60 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 43.64 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 31.40 Mn |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | -70.90 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 63.50 Mn |
| Feb 28, 2026 | 48.70 Mn |
| Nov 30, 2025 | 65.60 Mn |
| Aug 31, 2025 | 39.30 Mn |
| May 31, 2025 | 49.30 Mn |
| Feb 28, 2025 | 41.60 Mn |
| Nov 30, 2024 | 67.20 Mn |
| Aug 31, 2024 | 41.00 Mn |
| May 31, 2024 | 26.20 Mn |
| Feb 29, 2024 | 49.60 Mn |
| Nov 30, 2023 | 57.10 Mn |
| Aug 31, 2023 | 42.70 Mn |
| May 31, 2023 | 40.30 Mn |
| Feb 28, 2023 | 34.40 Mn |
| Nov 30, 2022 | 53.20 Mn |
| Aug 31, 2022 | 59.30 Mn |
| May 31, 2022 | 21.70 Mn |
| Feb 28, 2022 | 34.40 Mn |
| Nov 30, 2021 | 57.20 Mn |
| Aug 31, 2021 | 31.50 Mn |
Mccormick Tax Provisions 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=tax-provisions&ticker=MKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();