Conagra Brands (CAG) Receivables - Other (2024 - 2026)
Conagra Brands' Receivables - Other came in at $1.6 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 98.0% from $81.8 million a year earlier and unchanged from the prior quarter.
Conagra Brands (CAG) Receivables - Other (2024 - 2026) Analysis & Trends
Going back to fiscal Q4 2024, Conagra Brands' Receivables - Other data covers 9 quarters.
- Going back by fiscal year, Receivables - Other was $81.8 million in FY2025 (+456.5%) and $14.7 million in FY2024.
- The five-year range for quarterly Receivables - Other is $1.6 million (fiscal Q3 2026) to $81.8 million (fiscal Q4 2025).
- Year-over-year, Receivables - Other has declined for three consecutive quarters, with growth averaging 60.6% over the last five quarters.
- Business Quant data shows CAG's Receivables - Other at $1.6 million (Q3 2026), $6.3 million (Q2 2026) and $16.7 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.60 Mn |
| Feb 22, 2026 | 1.60 Mn |
| Nov 23, 2025 | 6.30 Mn |
| Aug 24, 2025 | 16.70 Mn |
| May 25, 2025 | 81.80 Mn |
| Feb 23, 2025 | 71.70 Mn |
| Nov 24, 2024 | 9.00 Mn |
| Aug 25, 2024 | 9.70 Mn |
| May 26, 2024 | 14.70 Mn |
Conagra Brands Receivables - Other 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-other&ticker=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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-other&ticker=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();