J M Smucker (SJM) Total Non-Current Liabilities (2010 - 2026)
J M Smucker (SJM) reported Total Non-Current Liabilities of $8.16 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 7.9% from $8.86 billion a year earlier but up 0.3% from the prior quarter.
J M Smucker (SJM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), J M Smucker posted Total Non-Current Liabilities of $8.14 billion, down 7.8% from FY2025.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 9.0% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $8.83 billion in FY2025 (+0.1%), $8.82 billion in FY2024 (+54.3%), $5.71 billion in FY2023 (-4.2%) and $5.96 billion in FY2022 (+12.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $5.71 billion in fiscal Q4 2023 and a high of $10.22 billion in fiscal Q3 2024.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with an average decline of 4.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q3 2024 (growth of 72.0%); the low point was fiscal Q3 2025 (a decline of 19.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $8.14 billion (Q4 2026), $8.67 billion (Q3 2026) and $8.94 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | 33.96 Bn |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 8.65 Bn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 4.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.16 Bn |
| Apr 30, 2026 | 8.14 Bn |
| Jan 31, 2026 | 8.67 Bn |
| Oct 31, 2025 | 8.94 Bn |
| Jul 31, 2025 | 8.86 Bn |
| Apr 30, 2025 | 8.83 Bn |
| Jan 31, 2025 | 8.23 Bn |
| Oct 31, 2024 | 8.82 Bn |
| Jul 31, 2024 | 8.81 Bn |
| Apr 30, 2024 | 8.82 Bn |
| Jan 31, 2024 | 10.22 Bn |
| Oct 31, 2023 | 9.20 Bn |
| Jul 31, 2023 | 5.76 Bn |
| Apr 30, 2023 | 5.71 Bn |
| Jan 31, 2023 | 5.94 Bn |
| Oct 31, 2022 | 5.94 Bn |
| Jul 31, 2022 | 5.96 Bn |
| Apr 30, 2022 | 5.96 Bn |
| Jan 31, 2022 | 6.03 Bn |
| Oct 31, 2021 | 6.06 Bn |
J M Smucker Total 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=total-non-current-liabilities&ticker=SJM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();