J M Smucker (SJM) Restructuring Costs (2009 - 2026)
J M Smucker's Restructuring Costs was $600,000 in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 90.0% from $6 million a year earlier and down 86.7% from the prior quarter.
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Analysis
J M Smucker (SJM) Restructuring Costs (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, J M Smucker's Restructuring Costs was $15.7 million through Jul 31, 2026, down 54.8% year-over-year; for FY2026 (ended Apr 30, 2026), it was $21.1 million, down 41.1% from FY2025.
- Restructuring Costs shows a five-year compound annual growth rate of 0.4% (FY2021 to FY2026).
- In earlier fiscal years, Restructuring Costs was $35.8 million in FY2025 (-72.5%), $130.2 million in FY2024, $4.7 million in FY2023 (-41.3%) and $8 million in FY2022 (-61.4%).
- Quarterly Restructuring Costs has moved between $600,000 (fiscal Q3 2023) and $98.9 million (fiscal Q3 2024) over five years.
- Compared with a year earlier, Restructuring Costs has declined for seven straight quarters, with an average decline of 43.4% over the last eight quarters.
- The best year-over-year quarter for Restructuring Costs over five years was fiscal Q2 2024 (growth of 871.4%); the worst was fiscal Q1 2027 (a decline of 90.0%).
- Per Business Quant data, SJM's Restructuring Costs in the three fiscal quarters before Q1 2027 was $4.5 million (Q4 2026), $5 million (Q3 2026) and $5.6 million (Q2 2026).
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 |
|---|---|
| Jul 31, 2026 | 600,000.00 |
| Apr 30, 2026 | 4.50 Mn |
| Jan 31, 2026 | 5.00 Mn |
| Oct 31, 2025 | 5.60 Mn |
| Jul 31, 2025 | 6.00 Mn |
| Apr 30, 2025 | 7.90 Mn |
| Jan 31, 2025 | 10.10 Mn |
| Oct 31, 2024 | 10.70 Mn |
| Jul 31, 2024 | 7.10 Mn |
| Apr 30, 2024 | 24.50 Mn |
| Jan 31, 2024 | 98.90 Mn |
| Oct 31, 2023 | 6.80 Mn |
| Apr 30, 2023 | 2.00 Mn |
| Jan 31, 2023 | 600,000.00 |
| Oct 31, 2022 | 700,000.00 |
| Jul 31, 2022 | 1.40 Mn |
| Apr 30, 2022 | 2.90 Mn |
| Jan 31, 2022 | 2.00 Mn |
| Oct 31, 2021 | 1.30 Mn |
| Jul 31, 2021 | 1.80 Mn |
API Access
J M Smucker 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=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "SJM", "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=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();