J M Smucker (SJM) Amortization - Intangibles (2009 - 2026)
J M Smucker (SJM) posted Amortization - Intangibles of $57.9 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 15.3% from $50.2 million a year earlier but down 3.3% from the prior quarter.
J M Smucker (SJM) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Amortization - Intangibles at J M Smucker was $218.3 million, up 2.2% year-over-year; for FY2026 (ended Apr 30, 2026), it was $210.6 million, down 4.0% from FY2025.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of -2.0% (FY2021 to FY2026).
- In prior fiscal years, J M Smucker's Amortization - Intangibles was $219.3 million in FY2025 (+14.8%), $191.1 million in FY2024 (-7.6%), $206.9 million in FY2023 (-7.5%) and $223.6 million in FY2022 (-4.0%).
- Quarterly Amortization - Intangibles has run from a low of $39.6 million in fiscal Q2 2024 to a high of $59.9 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Amortization - Intangibles increased in three of the last eight quarters, with growth averaging 4.2%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was fiscal Q2 2025, with growth of 40.9%; the weakest was fiscal Q4 2023, with a decline of 30.3%.
- According to Business Quant data, Amortization - Intangibles for the three prior fiscal quarters was $59.9 million (Q4 2026), $50.3 million (Q3 2026) and $50.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 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 | 57.90 Mn |
| Apr 30, 2026 | 59.90 Mn |
| Jan 31, 2026 | 50.30 Mn |
| Oct 31, 2025 | 50.20 Mn |
| Jul 31, 2025 | 50.20 Mn |
| Apr 30, 2025 | 53.60 Mn |
| Jan 31, 2025 | 53.90 Mn |
| Oct 31, 2024 | 55.80 Mn |
| Jul 31, 2024 | 56.00 Mn |
| Apr 30, 2024 | 56.00 Mn |
| Jan 31, 2024 | 55.70 Mn |
| Oct 31, 2023 | 39.60 Mn |
| Jul 31, 2023 | 39.80 Mn |
| Apr 30, 2023 | 40.10 Mn |
| Jan 31, 2023 | 55.60 Mn |
| Oct 31, 2022 | 55.60 Mn |
| Jul 31, 2022 | 55.60 Mn |
| Apr 30, 2022 | 57.50 Mn |
| Jan 31, 2022 | 55.30 Mn |
| Oct 31, 2021 | 55.40 Mn |
J M Smucker Amortization - Intangibles 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=amortization-intangibles&ticker=SJM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();