J M Smucker (SJM) Selling, General & Administrative (2009 - 2026)
J M Smucker's Selling, General & Administrative was $410.5 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 8.8% from $377.4 million a year earlier and up 14.7% from the prior quarter.
J M Smucker (SJM) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, J M Smucker's Selling, General & Administrative was $1.53 billion through Jul 31, 2026, up 0.9% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $1.5 billion, down 2.1% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of -0.4% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $1.53 billion in FY2025 (+5.7%), $1.45 billion in FY2024 (-0.6%), $1.46 billion in FY2023 (+7.0%) and $1.36 billion in FY2022 (-10.7%).
- The fiscal Q1 2027 figure marks the highest quarterly Selling, General & Administrative since fiscal Q4 2024.
- Compared with a year earlier, Selling, General & Administrative was higher in three of the last eight quarters, with growth averaging 0.7%.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q1 2025 (growth of 24.4%); the worst was fiscal Q4 2022 (a decline of 14.2%).
- Per Business Quant data, SJM's Selling, General & Administrative in the three fiscal quarters before Q1 2027 was $357.8 million (Q4 2026), $363.2 million (Q3 2026) and $398.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 350.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 410.50 Mn |
| Apr 30, 2026 | 357.80 Mn |
| Jan 31, 2026 | 363.20 Mn |
| Oct 31, 2025 | 398.20 Mn |
| Jul 31, 2025 | 377.40 Mn |
| Apr 30, 2025 | 380.60 Mn |
| Jan 31, 2025 | 367.60 Mn |
| Oct 31, 2024 | 390.70 Mn |
| Jul 31, 2024 | 390.10 Mn |
| Apr 30, 2024 | 424.90 Mn |
| Jan 31, 2024 | 374.20 Mn |
| Oct 31, 2023 | 333.50 Mn |
| Jul 31, 2023 | 313.60 Mn |
| Apr 30, 2023 | 376.00 Mn |
| Jan 31, 2023 | 380.90 Mn |
| Oct 31, 2022 | 354.30 Mn |
| Jul 31, 2022 | 343.80 Mn |
| Apr 30, 2022 | 352.60 Mn |
| Jan 31, 2022 | 336.00 Mn |
| Oct 31, 2021 | 347.70 Mn |
J M Smucker Selling, General & Administrative 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=selling-general-and-administrative&ticker=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();