J M Smucker (SJM) EV to EBITDA (2010 - 2026)
J M Smucker's (SJM) EV to EBITDA was 9.23 for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 59.4% from the prior quarter.
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Analysis
J M Smucker (SJM) EV to EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, J M Smucker's EV to EBITDA came in at 9.10; for FY2026 (ended Apr 30, 2026), it came in at 22.74.
- By fiscal year, EV to EBITDA came in at 13.73 in FY2024 (-74.5%), 53.79 in FY2023 (+175.1%) and 19.55 in FY2022 (+28.3%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly EV to EBITDA in data going back to fiscal Q4 2010.
- The high point for year-over-year EV to EBITDA in five years was fiscal Q4 2023 (growth of 175.1%); the low point was fiscal Q4 2024 (a decline of 74.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn |
| 10 | Lamb Weston Holdings | 7.38 Bn | 7.00 Bn | 266.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.23 |
| Apr 30, 2026 | 22.74 |
| Jan 31, 2025 | 27.17 |
| Oct 31, 2024 | 13.95 |
| Jul 31, 2024 | 13.74 |
| Apr 30, 2024 | 13.73 |
| Jan 31, 2024 | 41.89 |
| Oct 31, 2023 | 28.34 |
| Jul 31, 2023 | 43.60 |
| Apr 30, 2023 | 53.79 |
| Jan 31, 2023 | 21.01 |
| Oct 31, 2022 | 23.29 |
| Jul 31, 2022 | 20.04 |
| Apr 30, 2022 | 19.55 |
| Jan 31, 2022 | 21.28 |
| Oct 31, 2021 | 15.85 |
| Jul 31, 2021 | 16.26 |
| Apr 30, 2021 | 15.24 |
| Jan 31, 2021 | 12.88 |
| Oct 31, 2020 | 13.77 |
API Access
J M Smucker EV to EBITDA 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=ev-to-ebitda&ticker=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();