Conagra Brands (CAG) Cost of Revenue (2009 - 2026)
Conagra Brands (CAG) posted Cost of Revenue of $1.98 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 0.7% from $1.99 billion a year earlier and down 9.2% from the prior quarter.
Conagra Brands (CAG) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 30, 2026, Cost of Revenue at Conagra Brands was $8.57 billion, up 0.3% year-over-year; for FY2026 (ended May 31, 2026), it was $8.58 billion, down 0.3% from FY2025.
- Annual Cost of Revenue has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- In prior fiscal years, Conagra Brands' Cost of Revenue was $8.61 billion in FY2025 (-1.2%), $8.72 billion in FY2024 (-3.3%), $9.01 billion in FY2023 (+3.6%) and $8.7 billion in FY2022 (+8.6%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Cost of Revenue since fiscal Q1 2021.
- On a year-over-year basis, Cost of Revenue increased in 1 of the last eight quarters, with an average decline of 0.7%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q1 2023, with growth of 10.3%; the weakest was fiscal Q1 2024, with a decline of 4.7%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $2.18 billion (Q4 2026), $2.13 billion (Q3 2026) and $2.28 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.43 Bn | 98.30 Bn | - | - |
| 2 | Mondelez International | 81.43 Bn | 74.75 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 34.30 Bn | 30.54 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 29.39 Bn | 15.92 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 18.37 Bn | 16.03 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 13.89 Bn | 13.67 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.96 Bn | 12.61 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 11.58 Bn | 8.27 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 8.80 Bn | 6.09 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Conagra Brands | 7.09 Bn | 6.40 Bn | 618.70 Mn | 1.98 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 1.98 Bn |
| May 31, 2026 | 2.18 Bn |
| Feb 22, 2026 | 2.13 Bn |
| Nov 23, 2025 | 2.28 Bn |
| Aug 24, 2025 | 1.99 Bn |
| May 25, 2025 | 2.07 Bn |
| Feb 23, 2025 | 2.13 Bn |
| Nov 24, 2024 | 2.35 Bn |
| Aug 25, 2024 | 2.06 Bn |
| May 26, 2024 | 2.10 Bn |
| Feb 25, 2024 | 2.17 Bn |
| Nov 26, 2023 | 2.36 Bn |
| Aug 27, 2023 | 2.08 Bn |
| May 28, 2023 | 2.19 Bn |
| Feb 26, 2023 | 2.25 Bn |
| Nov 27, 2022 | 2.39 Bn |
| Aug 28, 2022 | 2.18 Bn |
| May 29, 2022 | 2.20 Bn |
| Feb 27, 2022 | 2.22 Bn |
| Nov 28, 2021 | 2.30 Bn |
Conagra Brands 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=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "CAG", "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=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();