J M Smucker (SJM) Payout Ratio (2010 - 2026)
J M Smucker's Payout Ratio came in at 2.04 for fiscal Q1 2027 (quarter ended Jul 31, 2026).
Analysis
J M Smucker (SJM) Payout Ratio (2010 - 2026) Analysis & Trends
For FY2024 (ended Apr 30, 2024), J M Smucker's Payout Ratio was 0.59.
- Going back by fiscal year, Payout Ratio was 0.66 in FY2022 (+43.8%), 0.46 in FY2021 (-9.6%) and 0.51 in FY2020 (-30.7%).
- The fiscal Q1 2027 figure represents the highest quarterly Payout Ratio in data going back to fiscal Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.04 |
| Oct 31, 2024 | 0.86 |
| Jul 31, 2024 | 0.60 |
| Apr 30, 2024 | 0.59 |
| Jan 31, 2023 | 0.60 |
| Oct 31, 2022 | 0.75 |
| Jul 31, 2022 | 0.72 |
| Apr 30, 2022 | 0.66 |
| Jan 31, 2022 | 0.71 |
| Oct 31, 2021 | 0.53 |
| Jul 31, 2021 | 0.50 |
| Apr 30, 2021 | 0.46 |
| Jan 31, 2021 | 0.42 |
| Oct 31, 2020 | 0.46 |
| Jul 31, 2020 | 0.46 |
| Apr 30, 2020 | 0.51 |
| Jan 31, 2020 | 0.63 |
| Oct 31, 2019 | 0.70 |
| Jul 31, 2019 | 0.72 |
| Apr 30, 2019 | 0.73 |
API Access
J M Smucker Payout Ratio 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=payout-ratio&ticker=SJM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "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=payout-ratio&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();