Conagra Brands (CAG) Other Accumulated Expenses (2009 - 2026)
Conagra Brands' Other Accumulated Expenses was $584 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 37.0% from $926.4 million a year earlier and down 11.6% from the prior quarter.
Conagra Brands (CAG) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Other Accumulated Expenses at Conagra Brands came in at $660.6 million, down 11.3% from FY2025.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- In earlier fiscal years, Other Accumulated Expenses was $744.7 million in FY2025 (+26.5%), $588.6 million in FY2024 (+0.9%), $583.3 million in FY2023 (-4.5%) and $610.9 million in FY2022 (-17.8%).
- The fiscal Q1 2027 figure marks the lowest quarterly Other Accumulated Expenses since fiscal Q4 2023.
- Compared with a year earlier, Other Accumulated Expenses has declined for three straight quarters, with growth averaging 5.5% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q1 2026 (growth of 29.7%); the worst was fiscal Q1 2027 (a decline of 37.0%).
- Per Business Quant data, CAG's Other Accumulated Expenses in the three fiscal quarters before Q1 2027 was $660.6 million (Q4 2026), $749.9 million (Q3 2026) and $799.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 584.00 Mn |
| May 31, 2026 | 660.60 Mn |
| Feb 22, 2026 | 749.90 Mn |
| Nov 23, 2025 | 799.40 Mn |
| Aug 24, 2025 | 926.40 Mn |
| May 25, 2025 | 744.70 Mn |
| Feb 23, 2025 | 826.80 Mn |
| Nov 24, 2024 | 636.60 Mn |
| Aug 25, 2024 | 714.30 Mn |
| May 26, 2024 | 588.60 Mn |
| Feb 25, 2024 | 686.20 Mn |
| Nov 26, 2023 | 639.60 Mn |
| Aug 27, 2023 | 761.90 Mn |
| May 28, 2023 | 583.30 Mn |
| Feb 26, 2023 | 663.50 Mn |
| Nov 27, 2022 | 687.20 Mn |
| Aug 28, 2022 | 744.00 Mn |
| May 29, 2022 | 610.90 Mn |
| Feb 27, 2022 | 717.10 Mn |
| Nov 28, 2021 | 707.40 Mn |
Conagra Brands Other Accumulated Expenses 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=other-accumulated-expenses&ticker=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();