Conagra Brands (CAG) Shares Outstanding (Diluted) (2009 - 2026)
Conagra Brands (CAG) recorded Shares Outstanding (Diluted) of 480 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), up 0.1% from 479.6 million a year earlier and up 0.2% from the prior quarter.
Conagra Brands (CAG) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Conagra Brands reported Shares Outstanding (Diluted) of 479 million, down 0.1% from FY2025.
- Annual Shares Outstanding (Diluted) has declined for six straight fiscal years, with a five-year compound annual growth rate of -0.4% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 479.7 million in FY2025 (-0.1%), 480 million in FY2024 (-0.1%), 480.7 million in FY2023 (-0.3%) and 482.2 million in FY2022 (-1.1%).
- The fiscal Q1 2027 figure is the highest quarterly Shares Outstanding (Diluted) since fiscal Q1 2025.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in two of the last eight quarters, with an average decline of 0.1%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 0.1% in fiscal Q3 2024, against a decline of 1.8% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 479 million (Q4 2026), 479.8 million (Q3 2026) and 479 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.11 Bn | 99.98 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 83.20 Bn | 76.52 Bn | 3.99 Bn | 1.29 Bn |
| 3 | Hershey | 35.53 Bn | 31.77 Bn | 1.26 Bn | 257.36 Mn |
| 4 | Kraft Heinz | 29.73 Bn | 16.26 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 18.80 Bn | 16.46 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 14.25 Bn | 14.03 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 13.11 Bn | 12.76 Bn | 794.90 Mn | 269.40 Mn |
| 8 | Hormel Foods | 11.76 Bn | 8.44 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 8.96 Bn | 6.25 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Conagra Brands | 7.19 Bn | 6.49 Bn | 618.70 Mn | 480.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 480.00 Mn |
| May 31, 2026 | 479.00 Mn |
| Feb 22, 2026 | 479.80 Mn |
| Nov 23, 2025 | 479.00 Mn |
| Aug 24, 2025 | 479.60 Mn |
| May 25, 2025 | 479.70 Mn |
| Feb 23, 2025 | 479.30 Mn |
| Nov 24, 2024 | 479.30 Mn |
| Aug 25, 2024 | 480.30 Mn |
| May 26, 2024 | 480.00 Mn |
| Feb 25, 2024 | 480.00 Mn |
| Nov 26, 2023 | 479.80 Mn |
| Aug 27, 2023 | 479.80 Mn |
| May 28, 2023 | 480.70 Mn |
| Feb 26, 2023 | 479.40 Mn |
| Nov 27, 2022 | 480.90 Mn |
| Aug 28, 2022 | 480.60 Mn |
| May 29, 2022 | 482.20 Mn |
| Feb 27, 2022 | 482.20 Mn |
| Nov 28, 2021 | 481.90 Mn |
Conagra Brands 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=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CAG", "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=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();