Conagra Brands (CAG) Total Liabilities (2009 - 2026)
Conagra Brands' Total Liabilities was $11.3 billion in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 7.8% from $12.26 billion a year earlier but up 3.5% from the prior quarter.
Conagra Brands (CAG) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Total Liabilities at Conagra Brands came in at $10.92 billion, down 9.0% from FY2025.
- Total Liabilities has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -4.2% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $12 billion in FY2025 (-2.8%), $12.35 billion in FY2024 (-6.8%), $13.25 billion in FY2023 (-2.4%) and $13.57 billion in FY2022 (+0.1%).
- Quarterly Total Liabilities has moved between $10.92 billion (fiscal Q4 2026) and $13.84 billion (fiscal Q2 2022) over five years.
- Compared with a year earlier, Total Liabilities has declined for 17 straight quarters, with an average decline of 6.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2022 (growth of 0.2%); the worst was fiscal Q4 2026 (a decline of 9.0%).
- Per Business Quant data, CAG's Total Liabilities in the three fiscal quarters before Q1 2027 was $10.92 billion (Q4 2026), $11.05 billion (Q3 2026) and $11.45 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.11 Bn | 99.98 Bn | - | 69.38 Bn |
| 2 | Mondelez International | 83.20 Bn | 76.52 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 35.53 Bn | 31.77 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 29.73 Bn | 16.26 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 18.80 Bn | 16.46 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 14.25 Bn | 14.03 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 13.11 Bn | 12.76 Bn | 794.90 Mn | 9.06 Bn |
| 8 | Hormel Foods | 11.76 Bn | 8.44 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 8.96 Bn | 6.25 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Conagra Brands | 7.19 Bn | 6.49 Bn | 618.70 Mn | 11.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 11.30 Bn |
| May 31, 2026 | 10.92 Bn |
| Feb 22, 2026 | 11.05 Bn |
| Nov 23, 2025 | 11.45 Bn |
| Aug 24, 2025 | 12.26 Bn |
| May 25, 2025 | 12.00 Bn |
| Feb 23, 2025 | 11.97 Bn |
| Nov 24, 2024 | 12.22 Bn |
| Aug 25, 2024 | 12.55 Bn |
| May 26, 2024 | 12.35 Bn |
| Feb 25, 2024 | 12.69 Bn |
| Nov 26, 2023 | 13.05 Bn |
| Aug 27, 2023 | 13.41 Bn |
| May 28, 2023 | 13.25 Bn |
| Feb 26, 2023 | 13.52 Bn |
| Nov 27, 2022 | 13.68 Bn |
| Aug 28, 2022 | 13.64 Bn |
| May 29, 2022 | 13.57 Bn |
| Feb 27, 2022 | 13.65 Bn |
| Nov 28, 2021 | 13.84 Bn |
Conagra Brands Total Liabilities 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=total-liabilities&ticker=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();