Conagra Brands (CAG) Market Capitalization (2009 - 2026)
Conagra Brands (CAG) posted Market Capitalization of $7.68 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 18.3% from $9.4 billion a year earlier but up 20.9% from the prior quarter.
Conagra Brands (CAG) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Conagra Brands' Market Capitalization came in at $6.36 billion, down 40.6% from FY2025.
- Annual Market Capitalization has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -19.1% (FY2021 to FY2026).
- In prior fiscal years, Conagra Brands' Market Capitalization was $10.69 billion in FY2025 (-26.1%), $14.48 billion in FY2024 (-12.9%), $16.62 billion in FY2023 (+4.4%) and $15.92 billion in FY2022 (-13.0%).
- Quarterly Market Capitalization has run from a low of $6.36 billion in fiscal Q4 2026 to a high of $17.69 billion in fiscal Q2 2023 over five years.
- On a year-over-year basis, Market Capitalization has declined in each of the last eight quarters, with an average decline of 24.6% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q2 2023, with growth of 16.7%; the weakest was fiscal Q4 2026, with a decline of 40.6%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $6.36 billion (Q4 2026), $8.84 billion (Q3 2026) and $8.5 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.37 Bn | 95.83 Bn | - |
| 2 | Mondelez International | 81.71 Bn | 74.98 Bn | 3.99 Bn |
| 3 | Hershey | 34.37 Bn | 30.61 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.36 Bn | 15.78 Bn | 2.03 Bn |
| 5 | General Mills | 18.48 Bn | 16.13 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn |
| 7 | Mccormick | 12.84 Bn | 11.90 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.59 Bn | 8.26 Bn | 471.52 Mn |
| 9 | Chewy | 8.90 Bn | 6.19 Bn | 1.01 Bn |
| 10 | Conagra Brands | 7.09 Bn | 6.40 Bn | 618.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 7.68 Bn |
| May 31, 2026 | 6.36 Bn |
| Feb 22, 2026 | 8.84 Bn |
| Nov 23, 2025 | 8.50 Bn |
| Aug 24, 2025 | 9.40 Bn |
| May 25, 2025 | 10.69 Bn |
| Feb 23, 2025 | 12.31 Bn |
| Nov 24, 2024 | 13.09 Bn |
| Aug 25, 2024 | 14.62 Bn |
| May 26, 2024 | 14.48 Bn |
| Feb 25, 2024 | 13.53 Bn |
| Nov 26, 2023 | 13.62 Bn |
| Aug 27, 2023 | 14.35 Bn |
| May 28, 2023 | 16.62 Bn |
| Feb 26, 2023 | 17.42 Bn |
| Nov 27, 2022 | 17.69 Bn |
| Aug 28, 2022 | 16.73 Bn |
| May 29, 2022 | 15.92 Bn |
| Feb 27, 2022 | 16.96 Bn |
| Nov 28, 2021 | 15.16 Bn |
Conagra Brands Market Capitalization 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=market-capitalization&ticker=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();