Conagra Brands (CAG) Total Non-Current Liabilities (2009 - 2026)
Conagra Brands' Total Non-Current Liabilities was $557.5 million in fiscal Q4 2026 (quarter ended May 31, 2026), down 2.9% from $574.1 million a year earlier and down 94.7% from the prior quarter.
Conagra Brands (CAG) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
From fiscal Q3 2009 onward, Conagra Brands has reported Total Non-Current Liabilities for 70 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $574.1 million in FY2025 (+0.3%), $572.2 million in FY2024 (+1.1%), $565.9 million in FY2023 (-2.2%) and $578.4 million in FY2022 (+0.8%).
- The fiscal Q4 2026 figure marks the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2020.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last eight quarters, with an average decline of 1.4%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q1 2026 (growth of 4.8%); the worst was fiscal Q3 2024 (a decline of 5.8%).
- Per Business Quant data, CAG's Total Non-Current Liabilities in the three fiscal quarters before Q4 2026 was $10.45 billion (Q3 2026), $10.86 billion (Q2 2026) and $11.66 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 21.57 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 8.50 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 8.16 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | 557.50 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 557.50 Mn |
| Feb 22, 2026 | 10.45 Bn |
| Nov 23, 2025 | 10.86 Bn |
| Aug 24, 2025 | 11.66 Bn |
| May 25, 2025 | 574.10 Mn |
| Feb 23, 2025 | 10.54 Bn |
| Nov 24, 2024 | 10.80 Bn |
| Aug 25, 2024 | 11.13 Bn |
| May 26, 2024 | 572.20 Mn |
| Feb 25, 2024 | 10.97 Bn |
| Nov 26, 2023 | 11.33 Bn |
| Aug 27, 2023 | 11.69 Bn |
| May 28, 2023 | 565.90 Mn |
| Feb 26, 2023 | 11.64 Bn |
| Nov 27, 2022 | 11.80 Bn |
| Aug 28, 2022 | 11.75 Bn |
| May 29, 2022 | 578.40 Mn |
| Feb 27, 2022 | 11.62 Bn |
| Nov 28, 2021 | 11.81 Bn |
| Aug 29, 2021 | 11.87 Bn |
Conagra Brands Total Non-Current 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-non-current-liabilities&ticker=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();