J M Smucker (SJM) Land & Improvements (2010 - 2026)
J M Smucker (SJM) recorded Land & Improvements of $158.5 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 0.4% from $157.8 million a year earlier and up 0.3% from the prior quarter.
J M Smucker (SJM) Land & Improvements (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), J M Smucker reported Land & Improvements of $158.1 million, up 0.4% from FY2025.
- Annual Land & Improvements has increased for four straight fiscal years, with a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- Across earlier fiscal years, Land & Improvements came in at $157.5 million in FY2025 (+3.3%), $152.4 million in FY2024 (+16.3%), $131 million in FY2023 (+8.8%) and $120.4 million in FY2022 (-3.1%).
- The fiscal Q1 2027 figure is the highest quarterly Land & Improvements in data going back to fiscal Q4 2010.
- On a year-over-year basis, Land & Improvements has increased for six consecutive quarters, with growth averaging 4.1% over the last eight quarters.
- Peak year-over-year performance for Land & Improvements in the last five years was growth of 16.4% in fiscal Q2 2025, against a decline of 5.4% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $158.1 million (Q4 2026), $158.3 million (Q3 2026) and $158.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 195.99 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 158.50 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | - |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 75.32 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 158.50 Mn |
| Apr 30, 2026 | 158.10 Mn |
| Jan 31, 2026 | 158.30 Mn |
| Oct 31, 2025 | 158.20 Mn |
| Jul 31, 2025 | 157.80 Mn |
| Apr 30, 2025 | 157.50 Mn |
| Jan 31, 2025 | 150.40 Mn |
| Oct 31, 2024 | 152.50 Mn |
| Jul 31, 2024 | 152.40 Mn |
| Apr 30, 2024 | 152.40 Mn |
| Jan 31, 2024 | 151.20 Mn |
| Oct 31, 2023 | 131.00 Mn |
| Jul 31, 2023 | 131.00 Mn |
| Apr 30, 2023 | 131.00 Mn |
| Jan 31, 2023 | 131.40 Mn |
| Oct 31, 2022 | 131.30 Mn |
| Jul 31, 2022 | 131.00 Mn |
| Apr 30, 2022 | 120.40 Mn |
| Jan 31, 2022 | 118.40 Mn |
| Oct 31, 2021 | 124.60 Mn |
J M Smucker Land & Improvements 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=land-and-improvements&ticker=SJM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();