Campbell'S (CPB) Total Non-Current Liabilities (2009 - 2026)
Campbell'S's Total Non-Current Liabilities came in at $11.19 billion for fiscal Q4 2026 (quarter ended Aug 2, 2026), up 8.1% from $10.35 billion a year earlier and up 6.3% from the prior quarter.
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Analysis
Campbell'S (CPB) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Campbell'S's Total Non-Current Liabilities data covers 68 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 7.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $10.35 billion in FY2025 (-3.8%), $10.76 billion in FY2024 (+38.2%), $7.79 billion in FY2023 (-2.1%) and $7.96 billion in FY2022 (+1.0%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Non-Current Liabilities since fiscal Q2 2025.
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 10.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q2 2025 (growth of 48.4%), and the weakest in fiscal Q1 2022 (a decline of 9.8%).
- Business Quant data shows CPB's Total Non-Current Liabilities at $10.53 billion (Q3 2026), $10.73 billion (Q2 2026) and $10.61 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | 33.96 Bn |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 8.65 Bn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Campbell'S | 5.92 Bn | 4.39 Bn | 583.00 Mn | 11.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 11.19 Bn |
| May 3, 2026 | 10.53 Bn |
| Feb 1, 2026 | 10.73 Bn |
| Nov 2, 2025 | 10.61 Bn |
| Aug 3, 2025 | 10.35 Bn |
| Apr 27, 2025 | 10.30 Bn |
| Jan 26, 2025 | 11.32 Bn |
| Oct 27, 2024 | 11.60 Bn |
| Jul 28, 2024 | 10.76 Bn |
| Apr 28, 2024 | 10.70 Bn |
| Jan 28, 2024 | 7.63 Bn |
| Oct 29, 2023 | 7.89 Bn |
| Jul 30, 2023 | 7.79 Bn |
| Apr 30, 2023 | 7.86 Bn |
| Jan 29, 2023 | 7.77 Bn |
| Oct 30, 2022 | 8.11 Bn |
| Jul 31, 2022 | 7.96 Bn |
| May 1, 2022 | 7.79 Bn |
| Jan 30, 2022 | 7.97 Bn |
| Oct 31, 2021 | 7.98 Bn |
API Access
Campbell'S 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=CPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CPB", "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=CPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();