Campbell'S (CPB) Operating Expenses (2009 - 2026)
Campbell'S (CPB) recorded Operating Expenses of $2.13 billion in fiscal Q4 2026 (quarter ended Aug 2, 2026), up 3.9% from $2.05 billion a year earlier and up 0.3% from the prior quarter.
Campbell'S (CPB) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 2, 2026), Campbell'S reported Operating Expenses of $8.89 billion, down 2.6% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 5.1% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $9.13 billion in FY2025 (+5.7%), $8.64 billion in FY2024 (+7.3%), $8.05 billion in FY2023 (+8.7%) and $7.4 billion in FY2022 (+6.8%).
- Quarterly Operating Expenses has ranged from $1.8 billion in fiscal Q4 2023 to $2.41 billion in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 1.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 24.3% in fiscal Q4 2022, against a decline of 8.1% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.13 billion (Q3 2026), $2.29 billion (Q2 2026) and $2.34 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 411.10 Mn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Campbell'S | 5.92 Bn | 4.39 Bn | 583.00 Mn | 2.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 2.13 Bn |
| May 3, 2026 | 2.13 Bn |
| Feb 1, 2026 | 2.29 Bn |
| Nov 2, 2025 | 2.34 Bn |
| Aug 3, 2025 | 2.05 Bn |
| Apr 27, 2025 | 2.31 Bn |
| Jan 26, 2025 | 2.36 Bn |
| Oct 27, 2024 | 2.41 Bn |
| Jul 28, 2024 | 2.22 Bn |
| Apr 28, 2024 | 2.12 Bn |
| Jan 28, 2024 | 2.14 Bn |
| Oct 29, 2023 | 2.16 Bn |
| Jul 30, 2023 | 1.80 Bn |
| Apr 30, 2023 | 1.98 Bn |
| Jan 29, 2023 | 2.14 Bn |
| Oct 30, 2022 | 2.14 Bn |
| Jul 31, 2022 | 1.82 Bn |
| May 1, 2022 | 1.84 Bn |
| Jan 30, 2022 | 1.89 Bn |
| Oct 31, 2021 | 1.86 Bn |
Campbell'S Operating 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=operating-expenses&ticker=CPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();