Simply Good Foods (SMPL) Net Debt Issuances and Repayments (2017 - 2025)
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Analysis
Simply Good Foods (SMPL) Net Debt Issuances and Repayments (2017 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.42 Bn | 95.87 Bn | - | - |
| 2 | Mondelez International | 81.91 Bn | 75.17 Bn | 3.99 Bn | -987.00 Mn |
| 3 | Hershey | 34.17 Bn | 30.41 Bn | 1.26 Bn | 252.56 Mn |
| 4 | Kraft Heinz | 29.40 Bn | 15.81 Bn | 2.03 Bn | 1.15 Bn |
| 5 | General Mills | 18.49 Bn | 16.14 Bn | 1.49 Bn | 132.70 Mn |
| 6 | J M Smucker | 13.88 Bn | 13.66 Bn | 979.60 Mn | -230.80 Mn |
| 7 | Mccormick | 12.93 Bn | 12.00 Bn | 794.90 Mn | 11.90 Mn |
| 8 | Hormel Foods | 11.58 Bn | 8.25 Bn | 471.52 Mn | -1.77 Mn |
| 9 | Chewy | 8.92 Bn | 6.21 Bn | 1.01 Bn | -220.00 Mn |
| 10 | Simply Good Foods | 928.37 Mn | 404.52 Mn | 116.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 29, 2025 | 150.00 Mn |
| May 31, 2025 | -50.00 Mn |
| Mar 1, 2025 | -50.00 Mn |
| Nov 30, 2024 | -50.00 Mn |
| Aug 31, 2024 | 160.90 Mn |
| May 25, 2024 | 878,000.00 |
| Feb 24, 2024 | -34.46 Mn |
| Nov 25, 2023 | -9.46 Mn |
| Aug 26, 2023 | -40.06 Mn |
| May 27, 2023 | -40.07 Mn |
| Feb 25, 2023 | -35.07 Mn |
| Nov 26, 2022 | -6.58 Mn |
| Aug 27, 2022 | -78,000.00 |
| May 28, 2022 | -25.08 Mn |
| Feb 26, 2022 | -79,000.00 |
| Nov 27, 2021 | -25.08 Mn |
| Aug 28, 2021 | -50.05 Mn |
| May 29, 2021 | -50.10 Mn |
| Feb 27, 2021 | -25.09 Mn |
| Nov 28, 2020 | -25.08 Mn |
API Access
Simply Good Foods Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();