J M Smucker (SJM) Shares Outstanding (Diluted) (2009 - 2026)
J M Smucker (SJM) posted Shares Outstanding (Diluted) of 107.1 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 49.8% from 213.2 million a year earlier and down 49.8% from the prior quarter.
J M Smucker (SJM) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), J M Smucker's Shares Outstanding (Diluted) came in at 213.4 million, up 0.3% from FY2025.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- In prior fiscal years, J M Smucker's Shares Outstanding (Diluted) was 212.8 million in FY2025 (+2.0%), 208.6 million in FY2024 (-1.8%), 212.4 million in FY2023 (-2.0%) and 216.8 million in FY2022 (-3.2%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q1 2010.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in seven of the last eight quarters, with an average decline of 5.3%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was fiscal Q2 2025, with growth of 4.2%; the weakest was fiscal Q1 2027, with a decline of 49.8%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 213.4 million (Q4 2026), 213.4 million (Q3 2026) and 213.6 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 1.29 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 257.36 Mn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 269.40 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Conagra Brands | 6.31 Bn | 5.62 Bn | 618.70 Mn | 480.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 107.10 Mn |
| Apr 30, 2026 | 213.40 Mn |
| Jan 31, 2026 | 213.40 Mn |
| Oct 31, 2025 | 213.60 Mn |
| Jul 31, 2025 | 213.20 Mn |
| Apr 30, 2025 | 212.80 Mn |
| Jan 31, 2025 | 212.80 Mn |
| Oct 31, 2024 | 213.10 Mn |
| Jul 31, 2024 | 212.80 Mn |
| Apr 30, 2024 | 208.60 Mn |
| Jan 31, 2024 | 212.00 Mn |
| Oct 31, 2023 | 204.60 Mn |
| Jul 31, 2023 | 205.30 Mn |
| Apr 30, 2023 | 212.40 Mn |
| Jan 31, 2023 | 214.00 Mn |
| Oct 31, 2022 | 213.80 Mn |
| Jul 31, 2022 | 213.60 Mn |
| Apr 30, 2022 | 216.80 Mn |
| Jan 31, 2022 | 216.40 Mn |
| Oct 31, 2021 | 216.20 Mn |
J M Smucker Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SJM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();