Campbell'S (CPB) Selling, General & Administrative (2009 - 2026)
Campbell'S (CPB) reported Selling, General & Administrative of $164 million for fiscal Q4 2026 (quarter ended Aug 2, 2026), down 4.7% from $172 million a year earlier but up 5.8% from the prior quarter.
Campbell'S (CPB) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 2, 2026), Campbell'S posted Selling, General & Administrative of $646 million, down 4.2% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $674 million in FY2025 (-8.5%), $737 million in FY2024 (+12.7%), $654 million in FY2023 (+6.0%) and $617 million in FY2022 (+3.2%).
- Five-year quarterly Selling, General & Administrative spans a low of $147 million in fiscal Q2 2022 and a high of $208 million in fiscal Q3 2024.
- Year over year, Selling, General & Administrative has now declined in each of the last seven quarters, with an average decline of 5.8% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q3 2024 (growth of 24.6%); the low point was fiscal Q3 2025 (a decline of 22.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $155 million (Q3 2026), $160 million (Q2 2026) and $167 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.43 Bn | 95.89 Bn | - | - |
| 2 | Mondelez International | 82.06 Bn | 75.33 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 34.79 Bn | 31.03 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 29.41 Bn | 15.83 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.61 Bn | 16.25 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 14.03 Bn | 13.81 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.96 Bn | 12.02 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.61 Bn | 8.28 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 8.88 Bn | 6.17 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Campbell'S | 6.18 Bn | 4.66 Bn | 583.00 Mn | 164.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 164.00 Mn |
| May 3, 2026 | 155.00 Mn |
| Feb 1, 2026 | 160.00 Mn |
| Nov 2, 2025 | 167.00 Mn |
| Aug 3, 2025 | 172.00 Mn |
| Apr 27, 2025 | 162.00 Mn |
| Jan 26, 2025 | 165.00 Mn |
| Oct 27, 2024 | 175.00 Mn |
| Jul 28, 2024 | 182.00 Mn |
| Apr 28, 2024 | 208.00 Mn |
| Jan 28, 2024 | 189.00 Mn |
| Oct 29, 2023 | 158.00 Mn |
| Jul 30, 2023 | 167.00 Mn |
| Apr 30, 2023 | 167.00 Mn |
| Jan 29, 2023 | 162.00 Mn |
| Oct 30, 2022 | 158.00 Mn |
| Jul 31, 2022 | 163.00 Mn |
| May 1, 2022 | 151.00 Mn |
| Jan 30, 2022 | 147.00 Mn |
| Oct 31, 2021 | 156.00 Mn |
Campbell'S Selling, General & Administrative 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=selling-general-and-administrative&ticker=CPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();