J M Smucker (SJM) Cash & Equivalents (2009 - 2026)
J M Smucker (SJM) recorded Cash & Equivalents of $43.2 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 9.9% from $39.3 million a year earlier but down 26.3% from the prior quarter.
J M Smucker (SJM) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), J M Smucker reported Cash & Equivalents of $58.6 million, down 16.2% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -29.4% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $69.9 million in FY2025 (+12.7%), $62 million in FY2024 (-90.5%), $655.8 million in FY2023 (+286.0%) and $169.9 million in FY2022 (-49.2%).
- Quarterly Cash & Equivalents has ranged from $27.1 million in fiscal Q2 2023 to $3.62 billion in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in five of the last eight quarters, with an average decline of 2.7%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 286.0% in fiscal Q4 2023, against a decline of 98.6% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $58.6 million (Q4 2026), $52.8 million (Q3 2026) and $62.8 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 371.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 43.20 Mn |
| Apr 30, 2026 | 58.60 Mn |
| Jan 31, 2026 | 52.80 Mn |
| Oct 31, 2025 | 62.80 Mn |
| Jul 31, 2025 | 39.30 Mn |
| Apr 30, 2025 | 69.90 Mn |
| Jan 31, 2025 | 47.20 Mn |
| Oct 31, 2024 | 49.20 Mn |
| Jul 31, 2024 | 39.50 Mn |
| Apr 30, 2024 | 62.00 Mn |
| Jan 31, 2024 | 35.90 Mn |
| Oct 31, 2023 | 3.62 Bn |
| Jul 31, 2023 | 241.10 Mn |
| Apr 30, 2023 | 655.80 Mn |
| Jan 31, 2023 | 104.20 Mn |
| Oct 31, 2022 | 27.10 Mn |
| Jul 31, 2022 | 151.60 Mn |
| Apr 30, 2022 | 169.90 Mn |
| Jan 31, 2022 | 284.30 Mn |
| Oct 31, 2021 | 155.30 Mn |
J M Smucker Cash & Equivalents 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=cash-and-equivalents&ticker=SJM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();