Simply Good Foods (SMPL) Total Debt (2016 - 2026)
Simply Good Foods (SMPL) recorded Total Debt of $397.04 million in fiscal Q3 2026 (quarter ended May 30, 2026), up 59.5% from $248.92 million a year earlier and unchanged from the prior quarter.
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Analysis
Simply Good Foods (SMPL) Total Debt (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Simply Good Foods reported Total Debt of $249.07 million, down 37.3% from FY2024.
- Annual Total Debt has a five-year compound annual growth rate of -16.0% (FY2020 to FY2025).
- Across earlier fiscal years, Total Debt came in at $397.49 million in FY2024 (+41.1%), $281.79 million in FY2023 (-30.1%), $403.29 million in FY2022 (-10.7%) and $451.55 million in FY2021 (-24.4%).
- The fiscal Q3 2026 figure is the highest quarterly Total Debt since fiscal Q4 2024.
- On a year-over-year basis, Total Debt has increased for three consecutive quarters, with growth averaging 21.1% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 59.5% in fiscal Q3 2026, against a decline of 37.3% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $396.87 million (Q2 2026), $396.74 million (Q1 2026) and $249.07 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | 27.38 Bn |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 21.45 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 5.61 Bn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 19.00 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 13.62 Bn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 6.74 Bn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 5.02 Bn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 2.86 Bn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 591.70 Mn |
| 10 | Simply Good Foods | 988.90 Mn | 465.05 Mn | 116.10 Mn | 397.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 397.04 Mn |
| Feb 28, 2026 | 396.87 Mn |
| Nov 29, 2025 | 396.74 Mn |
| Aug 30, 2025 | 249.07 Mn |
| May 31, 2025 | 248.92 Mn |
| Mar 1, 2025 | 298.54 Mn |
| Nov 30, 2024 | 347.99 Mn |
| Aug 31, 2024 | 397.49 Mn |
| May 25, 2024 | 237.66 Mn |
| Feb 24, 2024 | 237.67 Mn |
| Nov 25, 2023 | 272.12 Mn |
| Aug 26, 2023 | 281.79 Mn |
| May 27, 2023 | 321.10 Mn |
| Feb 25, 2023 | 362.86 Mn |
| Nov 26, 2022 | 397.24 Mn |
| Aug 27, 2022 | 403.29 Mn |
| May 28, 2022 | 402.87 Mn |
| Feb 26, 2022 | 427.20 Mn |
| Nov 27, 2021 | 427.31 Mn |
| Aug 28, 2021 | 451.55 Mn |
API Access
Simply Good Foods Total Debt 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=total-debt&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();