Campbell'S (CPB) Accumulated Expenses (2009 - 2026)
Campbell'S (CPB) posted Accumulated Expenses of $860 million for fiscal Q4 2026 (quarter ended Aug 2, 2026), up 25.0% from $688 million a year earlier and up 42.1% from the prior quarter.
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Analysis
Campbell'S (CPB) Accumulated Expenses (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Campbell'S has reported Accumulated Expenses for 69 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 8.3% (FY2021 to FY2026).
- In prior fiscal years, Campbell'S's Accumulated Expenses was $688 million in FY2025 (-4.4%), $720 million in FY2024 (+21.6%), $592 million in FY2023 (-4.7%) and $621 million in FY2022 (+7.8%).
- The fiscal Q4 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2009.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 7.4%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2026, with growth of 25.0%; the weakest was fiscal Q1 2022, with a decline of 6.9%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $605 million (Q3 2026), $712 million (Q2 2026) and $651 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn |
| 10 | Campbell'S | 6.31 Bn | 4.78 Bn | 583.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 860.00 Mn |
| May 3, 2026 | 605.00 Mn |
| Feb 1, 2026 | 712.00 Mn |
| Nov 2, 2025 | 651.00 Mn |
| Aug 3, 2025 | 688.00 Mn |
| Apr 27, 2025 | 620.00 Mn |
| Jan 26, 2025 | 705.00 Mn |
| Oct 27, 2024 | 622.00 Mn |
| Jul 28, 2024 | 720.00 Mn |
| Apr 28, 2024 | 584.00 Mn |
| Jan 28, 2024 | 615.00 Mn |
| Oct 29, 2023 | 541.00 Mn |
| Jul 30, 2023 | 592.00 Mn |
| Apr 30, 2023 | 537.00 Mn |
| Jan 29, 2023 | 602.00 Mn |
| Oct 30, 2022 | 534.00 Mn |
| Jul 31, 2022 | 621.00 Mn |
| May 1, 2022 | 542.00 Mn |
| Jan 30, 2022 | 577.00 Mn |
| Oct 31, 2021 | 539.00 Mn |
API Access
Campbell'S Accumulated 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=accumulated-expenses&ticker=CPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();