Simply Good Foods (SMPL) Total Liabilities (2016 - 2026)
Simply Good Foods' Total Liabilities came in at $584.34 million for fiscal Q4 2026 (quarter ended Aug 29, 2026), down 0.8% from $589.21 million a year earlier and down 9.3% from the prior quarter.
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Analysis
Simply Good Foods (SMPL) Total Liabilities (2016 - 2026) Analysis & Trends
Going back to fiscal Q4 2016, Simply Good Foods' Total Liabilities data covers 38 quarters.
- Total Liabilities carries a five-year compound annual growth rate of -7.5% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $589.21 million in FY2025 (-16.9%), $708.66 million in FY2024 (+34.7%), $525.99 million in FY2023 (-19.8%) and $655.59 million in FY2022 (-24.1%).
- The fiscal Q4 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q3 2024.
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 9.5%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2024 (growth of 34.7%), and the weakest in fiscal Q1 2023 (a decline of 24.5%).
- Business Quant data shows SMPL's Total Liabilities at $644.32 million (Q3 2026), $635.88 million (Q2 2026) and $716.51 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.56 Bn | 96.02 Bn | - | 69.38 Bn |
| 2 | Mondelez International | 83.86 Bn | 76.87 Bn | 3.92 Bn | 45.12 Bn |
| 3 | Hershey | 34.38 Bn | 31.11 Bn | 1.51 Bn | 9.02 Bn |
| 4 | Kraft Heinz | 28.62 Bn | 16.27 Bn | 1.99 Bn | 36.15 Bn |
| 5 | General Mills | 18.33 Bn | 15.98 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 14.08 Bn | 13.86 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 12.60 Bn | 11.66 Bn | 794.90 Mn | 9.06 Bn |
| 8 | Hormel Foods | 12.11 Bn | 8.77 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 9.02 Bn | 6.31 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Simply Good Foods | 1.15 Bn | 582.08 Mn | 113.33 Mn | 584.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 584.34 Mn |
| May 30, 2026 | 644.32 Mn |
| Feb 28, 2026 | 635.88 Mn |
| Nov 29, 2025 | 716.51 Mn |
| Aug 30, 2025 | 589.21 Mn |
| May 31, 2025 | 589.44 Mn |
| Mar 1, 2025 | 609.42 Mn |
| Nov 30, 2024 | 657.89 Mn |
| Aug 31, 2024 | 708.66 Mn |
| May 25, 2024 | 492.32 Mn |
| Feb 24, 2024 | 500.08 Mn |
| Nov 25, 2023 | 507.88 Mn |
| Aug 26, 2023 | 525.99 Mn |
| May 27, 2023 | 549.18 Mn |
| Feb 25, 2023 | 596.76 Mn |
| Nov 26, 2022 | 629.71 Mn |
| Aug 27, 2022 | 655.59 Mn |
| May 28, 2022 | 677.34 Mn |
| Feb 26, 2022 | 686.84 Mn |
| Nov 27, 2021 | 833.73 Mn |
API Access
Simply Good Foods Total Liabilities 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-liabilities&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();