Simply Good Foods (SMPL) Total Liabilities (2016 - 2026)
Simply Good Foods' Total Liabilities came in at $644.32 million for fiscal Q3 2026 (quarter ended May 30, 2026), up 9.3% from $589.44 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Simply Good Foods (SMPL) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Simply Good Foods' Total Liabilities was $589.21 million, down 16.9% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $708.66 million in FY2024 (+34.7%), $525.99 million in FY2023 (-19.8%), $655.59 million in FY2022 (-24.1%) and $863.41 million in FY2021 (-0.7%).
- The five-year range for quarterly Total Liabilities is $492.32 million (fiscal Q3 2024) to $863.41 million (fiscal Q4 2021).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 13.9% over the last eight quarters.
- 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 $635.88 million (Q2 2026), $716.51 million (Q1 2026) and $589.21 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | 69.38 Bn |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 9.06 Bn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Simply Good Foods | 988.90 Mn | 465.05 Mn | 116.10 Mn | 644.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 28, 2021 | 863.41 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();