Mccormick (MKC) Restructuring Costs (2009 - 2022)
Mccormick's Restructuring Costs came in at $2.2 million for FY2022 (year ended Nov 30, 2022), down 92.4% from $29 million in FY2021.
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Analysis
Mccormick (MKC) Restructuring Costs (2009 - 2022) Analysis & Trends
Going back to FY2009, Mccormick's Restructuring Costs data covers 6 fiscal years.
- Restructuring Costs carries a five-year compound annual growth rate of -44.2% (FY2017 to FY2022).
- The FY2022 figure represents the lowest annual Restructuring Costs in data going back to FY2009.
- Per Business Quant, earlier fiscal years put Restructuring Costs at $29 million in FY2021 (+133.9%), $12.4 million in FY2020 and $22.5 million in FY2018 (-44.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2022 | 1.50 Mn |
| Feb 28, 2022 | 700,000.00 |
| Nov 30, 2021 | 2.00 Mn |
| Aug 31, 2021 | 1.30 Mn |
| May 31, 2021 | 6.90 Mn |
| Feb 28, 2021 | 18.80 Mn |
| Nov 30, 2020 | 12.40 Mn |
| Nov 30, 2018 | 400,000.00 |
| Aug 31, 2018 | 5.60 Mn |
| May 31, 2018 | 7.80 Mn |
| Feb 28, 2018 | 8.70 Mn |
| Nov 30, 2017 | 16.30 Mn |
| Aug 31, 2017 | 24.50 Mn |
| Nov 30, 2009 | 8.00 Mn |
| Aug 31, 2009 | 900,000.00 |
API Access
Mccormick Restructuring Costs 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=restructuring-costs&ticker=MKC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();