J M Smucker (SJM) Cost of Revenue (2009 - 2026)
J M Smucker (SJM) posted Cost of Revenue of $1.24 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 24.3% from $1.64 billion a year earlier and down 11.8% from the prior quarter.
J M Smucker (SJM) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Cost of Revenue at J M Smucker was $5.62 billion, down 0.6% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $6.02 billion, up 12.6% from FY2025.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- In prior fiscal years, J M Smucker's Cost of Revenue was $5.34 billion in FY2025 (+5.5%), $5.06 billion in FY2024 (-11.6%), $5.73 billion in FY2023 (+8.1%) and $5.3 billion in FY2022 (+8.9%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Cost of Revenue since fiscal Q2 2024.
- On a year-over-year basis, Cost of Revenue increased in six of the last eight quarters, with growth averaging 4.5%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q1 2026, with growth of 23.4%; the weakest was fiscal Q1 2027, with a decline of 24.3%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $1.41 billion (Q4 2026), $1.51 billion (Q3 2026) and $1.46 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 1.40 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.24 Bn |
| Apr 30, 2026 | 1.41 Bn |
| Jan 31, 2026 | 1.51 Bn |
| Oct 31, 2025 | 1.46 Bn |
| Jul 31, 2025 | 1.64 Bn |
| Apr 30, 2025 | 1.32 Bn |
| Jan 31, 2025 | 1.31 Bn |
| Oct 31, 2024 | 1.39 Bn |
| Jul 31, 2024 | 1.33 Bn |
| Apr 30, 2024 | 1.29 Bn |
| Jan 31, 2024 | 1.41 Bn |
| Oct 31, 2023 | 1.21 Bn |
| Jul 31, 2023 | 1.15 Bn |
| Apr 30, 2023 | 1.44 Bn |
| Jan 31, 2023 | 1.46 Bn |
| Oct 31, 2022 | 1.50 Bn |
| Jul 31, 2022 | 1.32 Bn |
| Apr 30, 2022 | 1.37 Bn |
| Jan 31, 2022 | 1.37 Bn |
| Oct 31, 2021 | 1.34 Bn |
J M Smucker Cost of Revenue 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=cost-of-revenue&ticker=SJM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();