Simply Good Foods (SMPL) Restructuring Costs (2018 - 2025)
Simply Good Foods (SMPL) reported Restructuring Costs of $820,000 for FY2025 (year ended Aug 30, 2025), down 94.4% from $14.52 million in FY2024.
Analysis
Simply Good Foods (SMPL) Restructuring Costs (2018 - 2025) Analysis & Trends
Dating back to FY2018, Simply Good Foods' Restructuring Costs record includes 5 fiscal years.
- Restructuring Costs has a five-year compound annual growth rate of -50.3% (FY2020 to FY2025).
- The FY2025 figure ranks as the lowest annual Restructuring Costs in data going back to FY2018.
- According to Business Quant data, Restructuring Costs came in at $14.52 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Simply Good Foods | 849.22 Mn | 325.37 Mn | 116.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 1, 2025 | 177,000.00 |
| Nov 30, 2024 | 643,000.00 |
| Aug 31, 2024 | 11.82 Mn |
| May 25, 2024 | 2.70 Mn |
| Aug 29, 2020 | 225,000.00 |
| May 30, 2020 | 47,000.00 |
| Feb 29, 2020 | 694,000.00 |
| Nov 30, 2019 | 26.16 Mn |
| Aug 31, 2019 | 5.02 Mn |
| May 25, 2019 | 758,000.00 |
| Feb 23, 2019 | 290,000.00 |
| Nov 24, 2018 | 1.04 Mn |
| May 26, 2018 | 35,000.00 |
| Feb 24, 2018 | 1.88 Mn |
API Access
Simply Good Foods Restructuring Costs 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=restructuring-costs&ticker=SMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();