Campbell'S (CPB) Non Operating Interest Expenses (2009 - 2026)
Campbell'S (CPB) reported Non Operating Interest Expenses of $85 million for fiscal Q4 2026 (quarter ended Aug 2, 2026), unchanged from $85 million a year earlier and up 2.4% from the prior quarter.
Campbell'S (CPB) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 2, 2026), Campbell'S posted Non Operating Interest Expenses of $331 million, down 4.1% from FY2025.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 9.5% (FY2021 to FY2026).
- By fiscal year, Non Operating Interest Expenses came in at $345 million in FY2025 (+38.6%), $249 million in FY2024 (+32.4%), $188 million in FY2023 (-0.5%) and $189 million in FY2022 (-10.0%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $45 million in fiscal Q4 2022 and a high of $88 million in fiscal Q2 2025.
- Year over year, Non Operating Interest Expenses gained in four of the last eight quarters, with growth averaging 21.9%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q2 2025 (growth of 91.3%); the low point was fiscal Q2 2022 (a decline of 16.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $83 million (Q3 2026), $82 million (Q2 2026) and $81 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Campbell'S | 5.91 Bn | 4.69 Bn | 583.00 Mn | 85.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 85.00 Mn |
| May 3, 2026 | 83.00 Mn |
| Feb 1, 2026 | 82.00 Mn |
| Nov 2, 2025 | 81.00 Mn |
| Aug 3, 2025 | 85.00 Mn |
| Apr 27, 2025 | 85.00 Mn |
| Jan 26, 2025 | 88.00 Mn |
| Oct 27, 2024 | 87.00 Mn |
| Jul 28, 2024 | 84.00 Mn |
| Apr 28, 2024 | 70.00 Mn |
| Jan 28, 2024 | 46.00 Mn |
| Oct 29, 2023 | 49.00 Mn |
| Jul 30, 2023 | 49.00 Mn |
| Apr 30, 2023 | 47.00 Mn |
| Jan 29, 2023 | 45.00 Mn |
| Oct 30, 2022 | 47.00 Mn |
| Jul 31, 2022 | 45.00 Mn |
| May 1, 2022 | 51.00 Mn |
| Jan 30, 2022 | 46.00 Mn |
| Oct 31, 2021 | 47.00 Mn |
Campbell'S Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=CPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=CPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();