General Mills (GIS) Shares Outstanding (2009 - 2026)
General Mills' Shares Outstanding was 537.4 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 0.7% from 541.3 million a year earlier and down 0.1% from the prior quarter.
General Mills (GIS) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Shares Outstanding at General Mills came in at 537.7 million, down 3.0% from FY2025.
- Shares Outstanding has now declined for five consecutive fiscal years, with a five-year compound annual growth rate of -2.6% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding was 554.5 million in FY2025 (-3.6%), 575.5 million in FY2024 (-3.2%), 594.8 million in FY2023 (-2.1%) and 607.5 million in FY2022 (-1.1%).
- Quarterly Shares Outstanding has moved between 536.4 million (fiscal Q2 2026) and 608.6 million (fiscal Q2 2022) over five years.
- Compared with a year earlier, Shares Outstanding has declined for 21 straight quarters, with an average decline of 3.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding ran from 0.7% in fiscal Q1 2027 to 4.4% in fiscal Q1 2025.
- Per Business Quant data, GIS's Shares Outstanding in the three fiscal quarters before Q1 2027 was 537.7 million (Q4 2026), 536.6 million (Q3 2026) and 536.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 2.18 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.28 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 202.19 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 537.40 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 106.80 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 269.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 550.68 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 406.40 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 479.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 537.40 Mn |
| May 31, 2026 | 537.70 Mn |
| Feb 22, 2026 | 536.60 Mn |
| Nov 23, 2025 | 536.40 Mn |
| Aug 24, 2025 | 541.30 Mn |
| May 25, 2025 | 554.50 Mn |
| Feb 23, 2025 | 552.60 Mn |
| Nov 24, 2024 | 556.90 Mn |
| Aug 25, 2024 | 560.50 Mn |
| May 26, 2024 | 575.50 Mn |
| Feb 25, 2024 | 569.50 Mn |
| Nov 26, 2023 | 580.10 Mn |
| Aug 27, 2023 | 586.30 Mn |
| May 28, 2023 | 594.80 Mn |
| Feb 26, 2023 | 592.50 Mn |
| Nov 27, 2022 | 595.90 Mn |
| Aug 28, 2022 | 600.20 Mn |
| May 29, 2022 | 607.50 Mn |
| Feb 27, 2022 | 606.80 Mn |
| Nov 28, 2021 | 608.60 Mn |
General Mills Shares Outstanding 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&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "GIS", "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&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();