J M Smucker (SJM) Total Liabilities (2009 - 2026)
J M Smucker's Total Liabilities was $10.45 billion in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 11.5% from $11.82 billion a year earlier and down 2.1% from the prior quarter.
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Analysis
J M Smucker (SJM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Total Liabilities at J M Smucker came in at $10.68 billion, down 7.0% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $11.48 billion in FY2025 (-8.7%), $12.58 billion in FY2024 (+63.4%), $7.7 billion in FY2023 (-2.7%) and $7.91 billion in FY2022 (-3.0%).
- The fiscal Q1 2027 figure marks the lowest quarterly Total Liabilities since fiscal Q1 2024.
- Compared with a year earlier, Total Liabilities has declined for seven straight quarters, with an average decline of 5.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2024 (growth of 65.1%); the worst was fiscal Q1 2027 (a decline of 11.5%).
- Per Business Quant data, SJM's Total Liabilities in the three fiscal quarters before Q1 2027 was $10.68 billion (Q4 2026), $11.03 billion (Q3 2026) and $11.57 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | 69.38 Bn |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 9.06 Bn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Lamb Weston Holdings | 7.38 Bn | 7.00 Bn | 266.50 Mn | 5.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.45 Bn |
| Apr 30, 2026 | 10.68 Bn |
| Jan 31, 2026 | 11.03 Bn |
| Oct 31, 2025 | 11.57 Bn |
| Jul 31, 2025 | 11.82 Bn |
| Apr 30, 2025 | 11.48 Bn |
| Jan 31, 2025 | 11.52 Bn |
| Oct 31, 2024 | 12.39 Bn |
| Jul 31, 2024 | 12.58 Bn |
| Apr 30, 2024 | 12.58 Bn |
| Jan 31, 2024 | 12.69 Bn |
| Oct 31, 2023 | 11.03 Bn |
| Jul 31, 2023 | 7.71 Bn |
| Apr 30, 2023 | 7.70 Bn |
| Jan 31, 2023 | 7.68 Bn |
| Oct 31, 2022 | 8.00 Bn |
| Jul 31, 2022 | 8.13 Bn |
| Apr 30, 2022 | 7.91 Bn |
| Jan 31, 2022 | 7.70 Bn |
| Oct 31, 2021 | 7.95 Bn |
API Access
J M Smucker Total 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-liabilities&ticker=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();