Simply Good Foods (SMPL) Selling, General & Administrative (2016 - 2026)
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Analysis
Simply Good Foods (SMPL) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 2.01 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 692.87 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.11 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Simply Good Foods | 1.10 Bn | 534.79 Mn | 113.33 Mn | 30.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 30.57 Mn |
| May 30, 2026 | 40.45 Mn |
| Feb 28, 2026 | 34.88 Mn |
| Nov 29, 2025 | 38.01 Mn |
| Aug 30, 2025 | 40.62 Mn |
| May 31, 2025 | 41.23 Mn |
| Mar 1, 2025 | 36.01 Mn |
| Nov 30, 2024 | 38.06 Mn |
| Aug 31, 2024 | 41.27 Mn |
| May 25, 2024 | 31.54 Mn |
| Feb 24, 2024 | 29.93 Mn |
| Nov 25, 2023 | 26.95 Mn |
| Aug 26, 2023 | 29.48 Mn |
| May 27, 2023 | 30.51 Mn |
| Feb 25, 2023 | 25.93 Mn |
| Nov 26, 2022 | 25.64 Mn |
| Aug 27, 2022 | 27.12 Mn |
| May 28, 2022 | 26.72 Mn |
| Feb 26, 2022 | 26.29 Mn |
| Nov 27, 2021 | 23.70 Mn |
API Access
Simply Good Foods Selling, General & Administrative 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=selling-general-and-administrative&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();