Conagra Brands (CAG) Income from Continuing Operations (2009 - 2026)
Conagra Brands' Income from Continuing Operations came in at -$1.62 billion for fiscal Q4 2026 (quarter ended May 31, 2026), compared with $256 million a year earlier.
Conagra Brands (CAG) Income from Continuing Operations (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Conagra Brands' Income from Continuing Operations was -$1.92 billion.
- Going back by fiscal year, Income from Continuing Operations was $1.15 billion in FY2025 (+231.5%), $347.7 million in FY2024 (-49.1%), $683.2 million in FY2023 (-23.1%) and $888.2 million in FY2022 (-31.7%).
- The fiscal Q4 2026 figure represents the lowest quarterly Income from Continuing Operations in data going back to fiscal Q3 2009.
- Year-over-year, Income from Continuing Operations increased in two of the last five quarters, with an average decline of 6.9%.
- The fastest year-over-year change in Income from Continuing Operations over five years came in fiscal Q3 2023 (growth of 70.8%), and the weakest in fiscal Q1 2026 (a decline of 64.8%).
- Business Quant data shows CAG's Income from Continuing Operations at $199.8 million (Q3 2026), -$663.6 million (Q2 2026) and $164.5 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.54 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 457.67 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -5.46 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 379.20 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 324.30 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 156.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 59.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 80.50 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 174.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 174.30 Mn |
| May 31, 2026 | -1.62 Bn |
| Feb 22, 2026 | 199.80 Mn |
| Nov 23, 2025 | -663.60 Mn |
| Aug 24, 2025 | 164.50 Mn |
| May 25, 2025 | 256.00 Mn |
| Feb 23, 2025 | 145.10 Mn |
| Nov 24, 2024 | 284.50 Mn |
| Aug 25, 2024 | 466.90 Mn |
| May 26, 2024 | -567.20 Mn |
| Feb 25, 2024 | 308.80 Mn |
| Nov 26, 2023 | 286.20 Mn |
| Aug 27, 2023 | 319.90 Mn |
| May 28, 2023 | 185.30 Mn |
| Feb 26, 2023 | 291.70 Mn |
| Nov 27, 2022 | 332.90 Mn |
| Aug 28, 2022 | -126.70 Mn |
| May 29, 2022 | 255.50 Mn |
| Feb 27, 2022 | 170.80 Mn |
| Nov 28, 2021 | 246.40 Mn |
Conagra Brands Income from Continuing Operations 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=income-from-continuing-operations&ticker=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();