J M Smucker (SJM) Price to Earnings (2010 - 2026)
J M Smucker's (SJM) Price to Earnings came in at 55.51 for fiscal Q1 2027 (quarter ended Jul 31, 2026).
Analysis
J M Smucker (SJM) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2024 (ended Apr 30, 2024), J M Smucker's Price to Earnings stood at 32.14.
- In prior fiscal years, J M Smucker's Price to Earnings was 46.17 in FY2022 (+42.6%), 32.38 in FY2021 (-3.8%) and 33.64 in FY2020 (-37.9%).
- The fiscal Q1 2027 figure stands as the highest quarterly Price to Earnings since fiscal Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 55.51 |
| Oct 31, 2024 | 45.92 |
| Jul 31, 2024 | 33.64 |
| Apr 30, 2024 | 32.14 |
| Jan 31, 2023 | 45.80 |
| Oct 31, 2022 | 56.11 |
| Jul 31, 2022 | 48.01 |
| Apr 30, 2022 | 46.17 |
| Jan 31, 2022 | 52.91 |
| Oct 31, 2021 | 34.66 |
| Jul 31, 2021 | 35.84 |
| Apr 30, 2021 | 32.38 |
| Jan 31, 2021 | 26.75 |
| Oct 31, 2020 | 29.05 |
| Jul 31, 2020 | 28.95 |
| Apr 30, 2020 | 33.64 |
| Jan 31, 2020 | 37.83 |
| Oct 31, 2019 | 43.16 |
| Jul 31, 2019 | 47.32 |
| Apr 30, 2019 | 54.21 |
API Access
J M Smucker Price to Earnings 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=price-to-earnings&ticker=SJM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();