Conagra Brands (CAG) EBITDA (2009 - 2024)
Conagra Brands (CAG) recorded EBITDA of -$1.23 billion in FY2026 (year ended May 31, 2026), compared with $1.75 billion in FY2025.
Analysis
Conagra Brands (CAG) EBITDA (2009 - 2024) Analysis & Trends
Starting with FY2009, Conagra Brands' EBITDA history includes 18 fiscal years.
- The FY2026 figure is the lowest annual EBITDA in data going back to FY2009.
- Per Business Quant data, CAG's EBITDA was $1.75 billion in FY2025 (+40.0%), $1.25 billion in FY2024 (-13.3%), $1.45 billion in FY2023 (-16.0%) and $1.72 billion in FY2022 (-31.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 773.40 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 349.90 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 639.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 26, 2024 | 512.00 Mn |
| Feb 25, 2024 | 567.20 Mn |
| Nov 26, 2023 | 547.80 Mn |
| Aug 27, 2023 | 585.60 Mn |
| May 28, 2023 | 907.50 Mn |
| Feb 26, 2023 | 581.50 Mn |
| Nov 27, 2022 | 642.10 Mn |
| Aug 28, 2022 | 71.70 Mn |
| May 29, 2022 | 303.90 Mn |
| Feb 27, 2022 | 516.20 Mn |
| Nov 28, 2021 | 565.40 Mn |
| Aug 29, 2021 | 524.40 Mn |
| May 30, 2021 | 464.10 Mn |
| Feb 28, 2021 | 642.00 Mn |
| Nov 29, 2020 | 740.30 Mn |
| Aug 30, 2020 | 682.30 Mn |
| May 31, 2020 | 593.40 Mn |
| Feb 23, 2020 | 538.70 Mn |
| Nov 24, 2019 | 612.50 Mn |
| Aug 25, 2019 | 459.90 Mn |
API Access
Conagra Brands EBITDA 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=ebitda&ticker=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();