Campbell'S (CPB) Cost of Revenue (2009 - 2026)
Campbell'S (CPB) posted Cost of Revenue of $1.7 billion for Q2 2026, down 7.09% on a QoQ basis from $1.8 billion in Q1 2026, and down 1.77% year-over-year from $1.7 billion in Q2 2025.
Campbell'S (CPB) Cost of Revenue (2009 - 2026) Analysis & Trends
Campbell'S has reported Cost of Revenue for 18 years, with the latest figure at $1.7 billion in Q2 2026.
- On a quarterly basis, Cost of Revenue fell 1.77% year-over-year to $1.7 billion in Q2 2026; TTM through May 2026 was $7.1 billion, a 1.01% decrease from a year earlier, with the FY2025 full-year figure at $7.1 billion, up 7.04% from the prior year.
- Cost of Revenue was $1.7 billion for Q2 2026 at Campbell'S, down from $1.8 billion in the prior quarter.
- The five-year high for Cost of Revenue was $1.9 billion in Q4 2024, with the low at $1.4 billion in Q3 2023.
- Average Cost of Revenue over 5 years is $1.7 billion, with a median of $1.7 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2024: Cost of Revenue gained 14.99% in 2022, then decreased 2.67% in 2024.
- Over 5 years, Cost of Revenue stood at $1.7 billion in 2022, then retreated by 0.63% to $1.7 billion in 2023, then rose by 10.12% to $1.9 billion in 2024, then declined by 1.05% to $1.9 billion in 2025, then dropped by 8.97% to $1.7 billion in 2026.
- The last three Cost of Revenue figures came in at $1.7 billion (Q2 2026), $1.8 billion (Q1 2026), and $1.9 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 137.23 Bn | 132.65 Bn | - | - |
| 2 | Kraft Heinz | 28.45 Bn | 25.88 Bn | 2.03 Bn | 4.23 Bn |
| 3 | General Mills | 18.94 Bn | 18.49 Bn | 1.60 Bn | 3.01 Bn |
| 4 | Mccormick | 13.30 Bn | 13.55 Bn | 778.20 Mn | 1.16 Bn |
| 5 | J M Smucker | 12.94 Bn | 12.90 Bn | 979.60 Mn | 1.24 Bn |
| 6 | Hormel Foods | 11.19 Bn | 10.34 Bn | 471.52 Mn | 2.49 Bn |
| 7 | Chewy | 7.89 Bn | 7.28 Bn | 1.01 Bn | 2.32 Bn |
| 8 | Conagra Brands | 7.08 Bn | 6.86 Bn | 704.10 Mn | 2.18 Bn |
| 9 | Lamb Weston Holdings | 6.38 Bn | 6.31 Bn | 361.40 Mn | 1.41 Bn |
| 10 | Campbell'S | 6.03 Bn | 5.63 Bn | 650.00 Mn | 1.72 Bn |
Historic Data
| Date | Value |
|---|---|
| May 3, 2026 | 1.72 Bn |
| Feb 1, 2026 | 1.85 Bn |
| Nov 2, 2025 | 1.89 Bn |
| Aug 3, 2025 | 1.62 Bn |
| Apr 27, 2025 | 1.75 Bn |
| Jan 26, 2025 | 1.87 Bn |
| Oct 27, 2024 | 1.91 Bn |
| Jul 28, 2024 | 1.62 Bn |
| Apr 28, 2024 | 1.64 Bn |
| Jan 28, 2024 | 1.68 Bn |
| Oct 29, 2023 | 1.73 Bn |
| Jul 30, 2023 | 1.41 Bn |
| Apr 30, 2023 | 1.56 Bn |
| Jan 29, 2023 | 1.73 Bn |
| Oct 30, 2022 | 1.74 Bn |
| Jul 31, 2022 | 1.42 Bn |
| May 1, 2022 | 1.47 Bn |
| Jan 30, 2022 | 1.54 Bn |
| Oct 31, 2021 | 1.51 Bn |
| Aug 1, 2021 | 1.29 Bn |
Campbell'S Cost of Revenue 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=cost-of-revenue&ticker=CPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();