Simply Good Foods (SMPL) Accumulated Expenses (2020 - 2025)
Simply Good Foods' Accumulated Expenses came in at $46.22 million for fiscal Q4 2025 (quarter ended Aug 30, 2025), down 7.2% from $49.79 million a year earlier.
Powered by 
Analysis
Simply Good Foods (SMPL) Accumulated Expenses (2020 - 2025) Analysis & Trends
Going back to fiscal Q4 2020, Simply Good Foods' Accumulated Expenses data covers 6 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $49.79 million in FY2024 (+42.0%), $35.06 million in FY2023 (-11.6%), $39.68 million in FY2022 (-26.0%) and $53.61 million in FY2021 (+41.0%).
- The fiscal Q4 2025 figure represents the lowest quarterly Accumulated Expenses since fiscal Q4 2023.
Peer Set
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 | Simply Good Foods | 839.49 Mn | 315.64 Mn | 116.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2025 | 46.22 Mn |
| Aug 31, 2024 | 49.79 Mn |
| Aug 26, 2023 | 35.06 Mn |
| Aug 27, 2022 | 39.68 Mn |
| Aug 28, 2021 | 53.61 Mn |
| Aug 29, 2020 | 38.01 Mn |
API Access
Simply Good Foods 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=accumulated-expenses&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SMPL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();