J M Smucker (SJM) Other Non-Current Liabilities (2010 - 2026)
J M Smucker (SJM) recorded Other Non-Current Liabilities of $150.5 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 5.7% from $159.6 million a year earlier and down 5.8% from the prior quarter.
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Analysis
J M Smucker (SJM) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), J M Smucker reported Other Non-Current Liabilities of $159.7 million, up 164.4% from FY2025.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of 10.5% (FY2021 to FY2026).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $60.4 million in FY2025 (-8.1%), $65.7 million in FY2024 (-9.3%), $72.4 million in FY2023 (-10.0%) and $80.4 million in FY2022 (-16.9%).
- The fiscal Q1 2027 figure is the lowest quarterly Other Non-Current Liabilities since fiscal Q4 2025.
- On a year-over-year basis, Other Non-Current Liabilities rose in three of the last eight quarters, with growth averaging 16.7%.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 164.4% in fiscal Q4 2026, against a decline of 29.9% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $159.7 million (Q4 2026), $163.8 million (Q3 2026) and $162 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 150.50 Mn |
| Apr 30, 2026 | 159.70 Mn |
| Jan 31, 2026 | 163.80 Mn |
| Oct 31, 2025 | 162.00 Mn |
| Jul 31, 2025 | 159.60 Mn |
| Apr 30, 2025 | 60.40 Mn |
| Jan 31, 2025 | 160.70 Mn |
| Oct 31, 2024 | 159.10 Mn |
| Jul 31, 2024 | 164.80 Mn |
| Apr 30, 2024 | 65.70 Mn |
| Jan 31, 2024 | 177.90 Mn |
| Oct 31, 2023 | 172.20 Mn |
| Jul 31, 2023 | 174.20 Mn |
| Apr 30, 2023 | 72.40 Mn |
| Jan 31, 2023 | 248.60 Mn |
| Oct 31, 2022 | 243.70 Mn |
| Jul 31, 2022 | 248.50 Mn |
| Apr 30, 2022 | 80.40 Mn |
| Jan 31, 2022 | 306.70 Mn |
| Oct 31, 2021 | 309.40 Mn |
API Access
J M Smucker Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();