Conagra Brands (CAG) Receivables (2009 - 2026)
Conagra Brands (CAG) recorded Receivables of $677 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 12.4% from $773.2 million a year earlier but up 2.6% from the prior quarter.
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Analysis
Conagra Brands (CAG) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Conagra Brands reported Receivables of $659.8 million, down 22.5% from FY2025.
- Annual Receivables has declined for three straight fiscal years, with a five-year compound annual growth rate of -3.6% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $851.8 million in FY2025 (-3.9%), $886.5 million in FY2024 (-7.0%), $952.8 million in FY2023 (+9.8%) and $867.4 million in FY2022 (+9.3%).
- Quarterly Receivables has ranged from $659.8 million in fiscal Q4 2026 to $977.2 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Receivables has declined for 11 consecutive quarters, with an average decline of 11.1% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 23.2% in fiscal Q1 2024, against a decline of 22.5% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $659.8 million (Q4 2026), $758.6 million (Q3 2026) and $841.8 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.11 Bn | 99.98 Bn | - | 11.65 Bn |
| 2 | Mondelez International | 83.20 Bn | 76.52 Bn | 3.99 Bn | 5.01 Bn |
| 3 | Hershey | 35.53 Bn | 31.77 Bn | 1.26 Bn | 907.37 Mn |
| 4 | Kraft Heinz | 29.73 Bn | 16.26 Bn | 2.03 Bn | 2.29 Bn |
| 5 | General Mills | 18.80 Bn | 16.46 Bn | 1.49 Bn | 1.78 Bn |
| 6 | J M Smucker | 14.25 Bn | 14.03 Bn | 979.60 Mn | 615.70 Mn |
| 7 | Mccormick | 13.11 Bn | 12.76 Bn | 794.90 Mn | 831.50 Mn |
| 8 | Hormel Foods | 11.76 Bn | 8.44 Bn | 471.52 Mn | 733.46 Mn |
| 9 | Chewy | 8.96 Bn | 6.25 Bn | 1.01 Bn | 232.10 Mn |
| 10 | Conagra Brands | 7.19 Bn | 6.49 Bn | 618.70 Mn | 677.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 677.00 Mn |
| May 31, 2026 | 659.80 Mn |
| Feb 22, 2026 | 758.60 Mn |
| Nov 23, 2025 | 841.80 Mn |
| Aug 24, 2025 | 773.20 Mn |
| May 25, 2025 | 851.80 Mn |
| Feb 23, 2025 | 841.60 Mn |
| Nov 24, 2024 | 865.90 Mn |
| Aug 25, 2024 | 943.10 Mn |
| May 26, 2024 | 886.50 Mn |
| Feb 25, 2024 | 916.50 Mn |
| Nov 26, 2023 | 974.10 Mn |
| Aug 27, 2023 | 971.50 Mn |
| May 28, 2023 | 952.80 Mn |
| Feb 26, 2023 | 960.00 Mn |
| Nov 27, 2022 | 910.50 Mn |
| Aug 28, 2022 | 788.60 Mn |
| May 29, 2022 | 867.40 Mn |
| Feb 27, 2022 | 914.50 Mn |
| Nov 28, 2021 | 977.20 Mn |
API Access
Conagra Brands Receivables 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=receivables&ticker=CAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();