J M Smucker (SJM) Depreciation and Depletion (2009 - 2026)
J M Smucker's Depreciation and Depletion was $69.6 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 18.1% from $85 million a year earlier and down 6.6% from the prior quarter.
J M Smucker (SJM) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, J M Smucker's Depreciation and Depletion was $331 million through Jul 31, 2026, up 12.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $346.4 million, up 22.3% from FY2025.
- Depreciation and Depletion has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.6% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $283.2 million in FY2025 (+18.1%), $239.7 million in FY2024 (+7.0%), $224.1 million in FY2023 (-4.8%) and $235.5 million in FY2022 (+7.3%).
- The fiscal Q1 2027 figure marks the lowest quarterly Depreciation and Depletion since fiscal Q3 2025.
- Compared with a year earlier, Depreciation and Depletion was higher in seven of the last eight quarters, with growth averaging 13.7%.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q1 2025 (growth of 45.4%); the worst was fiscal Q1 2027 (a decline of 18.1%).
- Per Business Quant data, SJM's Depreciation and Depletion in the three fiscal quarters before Q1 2027 was $74.5 million (Q4 2026), $93.8 million (Q3 2026) and $93.1 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 227.00 Mn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 24.50 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 87.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 69.60 Mn |
| Apr 30, 2026 | 74.50 Mn |
| Jan 31, 2026 | 93.80 Mn |
| Oct 31, 2025 | 93.10 Mn |
| Jul 31, 2025 | 85.00 Mn |
| Apr 30, 2025 | 69.80 Mn |
| Jan 31, 2025 | 68.20 Mn |
| Oct 31, 2024 | 72.20 Mn |
| Jul 31, 2024 | 73.00 Mn |
| Apr 30, 2024 | 69.00 Mn |
| Jan 31, 2024 | 67.50 Mn |
| Oct 31, 2023 | 53.00 Mn |
| Jul 31, 2023 | 50.20 Mn |
| Apr 30, 2023 | 52.10 Mn |
| Jan 31, 2023 | 59.80 Mn |
| Oct 31, 2022 | 57.10 Mn |
| Jul 31, 2022 | 55.10 Mn |
| Apr 30, 2022 | 56.60 Mn |
| Jan 31, 2022 | 59.90 Mn |
| Oct 31, 2021 | 60.50 Mn |
J M Smucker Depreciation and Depletion 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=depreciation-and-depletion&ticker=SJM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();