J M Smucker (SJM) Property, Plant & Equipment (Net) (2010 - 2026)
J M Smucker (SJM) recorded Property, Plant & Equipment (Net) of $3.02 billion in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 1.0% from $3.05 billion a year earlier and down 0.5% from the prior quarter.
J M Smucker (SJM) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), J M Smucker reported Property, Plant & Equipment (Net) of $3.03 billion, down 1.5% from FY2025.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 8.7% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $3.08 billion in FY2025 (+0.2%), $3.07 billion in FY2024 (+37.2%), $2.24 billion in FY2023 (+5.1%) and $2.13 billion in FY2022 (+6.5%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $2 billion in fiscal Q3 2022 to $3.1 billion in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for five consecutive quarters, with growth averaging 2.9% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 37.2% in fiscal Q4 2024, against a decline of 2.1% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.03 billion (Q4 2026), $3 billion (Q3 2026) and $3.02 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | 10.69 Bn |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 10.65 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 3.48 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | 7.20 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 3.38 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 3.02 Bn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 1.54 Bn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 2.16 Bn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | 624.80 Mn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 3.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.02 Bn |
| Apr 30, 2026 | 3.03 Bn |
| Jan 31, 2026 | 3.00 Bn |
| Oct 31, 2025 | 3.02 Bn |
| Jul 31, 2025 | 3.05 Bn |
| Apr 30, 2025 | 3.08 Bn |
| Jan 31, 2025 | 3.05 Bn |
| Oct 31, 2024 | 3.09 Bn |
| Jul 31, 2024 | 3.10 Bn |
| Apr 30, 2024 | 3.07 Bn |
| Jan 31, 2024 | 3.00 Bn |
| Oct 31, 2023 | 2.39 Bn |
| Jul 31, 2023 | 2.29 Bn |
| Apr 30, 2023 | 2.24 Bn |
| Jan 31, 2023 | 2.27 Bn |
| Oct 31, 2022 | 2.20 Bn |
| Jul 31, 2022 | 2.14 Bn |
| Apr 30, 2022 | 2.13 Bn |
| Jan 31, 2022 | 2.00 Bn |
| Oct 31, 2021 | 2.02 Bn |
J M Smucker Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SJM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();